Aishwarya Srinivasan

AI@Fireworks AI | Global Speaker(100+ talks)| EB1-A Recipient| 570k+ Followers| AI Engineer| GenAI/LLM Inference| LinkedIn Top Voice| Author-What's Your Worth?| Startup AI Advisor| Angel Investor| Ex-Google,Microsoft,IBM

𝗙𝗼𝗿 𝗽𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽 𝗶𝗻𝗾𝘂𝗶𝗿𝗶𝗲𝘀, 𝗰𝗼𝗻𝘁𝗮𝗰𝘁 𝗺𝘆 𝘁𝗲𝗮𝗺 𝗮𝘁 💌 partnerships@illuminate-ai.org

I write about:
- AI engineering
- Applied machine learning
- Generative AI Applications
- LLM/ LLMOPs (Training, post-training, inferencing)
- Fundamentals of Data science/ ML/ AI
- ML roles interview tips
- Learning roadmaps (beginner to advanced)
- Importance of personal branding for career growth

**All the posts reflect my own views and do not represent my employer.**

AI Advisor || Responsible AI Advocate || LinkedIn Top Voice - Data & AI  || Top 10 AI Influencer || EB1-A Receipt


Bio: 
Aishwarya currently leads the Developer Relations - Growth at Fireworks AI. She was previously at Microsoft for Startups as a Senior AI Advisor to help Y Combinator startups build machine learning solutions, leveraging core Microsoft/ OpenAI products. Prior to this, Aishwarya was working as a Data Scientist in Google Cloud and before that an AI & ML Innovation Leader at IBM Data & AI, where she was working cross-functionally with the product team, data science team and sales to research AI use-cases for clients by conducting discovery workshops and building assets to showcase the business value of the technology. She holds a post-graduate in Data Science from Columbia University. 

Aishwarya has been awarded Trailblazer of the Year by Women in AI in 2022 and Women of Influence by Business Journal in 2022. She was awarded EB1A - extraordinary ability visa for her contributions in the AI field.

She is an advocate for open-source technologies, and was an open source Developer Advocate for Deepchecks and Lightning AI, and a contributor to Scikit Learn. 


She holds a Patent Award (2018) for developing a Reinforcement Learning model for Machine Trading.

She has over 500,000+ follower base on LinkedIn and actively organizes events and conferences to inspire budding data scientists. She has been spotlighted as a LinkedIn Top Voice 2020 for Data Science and AI, which features Top 10 Machine Learning influencers across the world. 

She is an ardent reader and has contributed to the scholastic community. To spread her knowledge in the space of data science, and to inspire budding Data Scientists, she actively writes blogs related to machine learning on LinkedIn and Instagram: www.instagram.com/the.datascience.gal

Besides being a data junkie, she is a fitness fanatic who is into martial arts (Krav Maga) and yoga.

Senior AI Advisor

If you're feeling overwhelmed with how fast AI is evolving, you're not alone.

Every day there’s a new paper, a new framework, a new agent loop, and it’s easy to feel like you’re falling behind.

But the good news is that you don’t need to learn everything all at once. What you need is structure.

So I put together a 10-level AI Agents Learning Roadmap that takes you from foundations to production, layering your learning in a way that’s actually doable.

💡My recommendation: spend 2–3 weeks on each level. Learn the concepts, implement small projects, and build your intuition.

If you're moving faster or slower based on time or experience, that’s okay too.
And when something new drops? That can be your Level 11. Don’t let “newness” derail your plan. Just start here.

👇 Here’s the roadmap:
🔖 Level 1: GenAI & Transformer Foundations
 Tokens, embeddings, transformers, decoding, and inference with open-weight models.

🔖 Level 2: Prompting & Language Model Behavior
 Prompt types (CoT, ReAct, ToT), decoding strategies, context design, and adversarial prompting.

🔖 Level 3: Retrieval-Augmented Generation (RAG)
 Chunking, embeddings, vector DBs, RAG pipelines, and RAG evaluation.

🔖 Level 4: LLMOps & Tools
 LangChain, LangGraph, Dust, CrewAI, tool use, function calling, and synthetic data.

🔖 Level 5: Agents & Agent Frameworks
 Agent types, memory, planning, LangChain agents, LangGraph loops, and evaluation.

🔖 Level 6: Memory, State & Orchestration
 Vector and symbolic memory, episodic vs persistent state, memory compression.

🔖 Level 7: Multi-Agent Systems
 Hub-and-spoke vs decentralized, message passing, collaborative agents, agent teams.

🔖 Level 8: Evaluation & Reinforcement Learning
 LLM-as-a-Judge, RLHF, RLVR, reward modeling, and self-correcting loops.

🔖 Level 9: Protocols & Safety
 MCP, A2A, safety alignment, guardrails, traceability, and autonomous policy updates.

🔖 Level 10: Build & Deploy
 FastAPI, Streamlit, GGUF, QLoRA, caching, monitoring with LangSmith, Arize, Trulens.

📌 Bookmark this.
🛠️ Build something after every level.

And if you're wondering what tools to explore along the way → Start with Hugging Face (to explore LLMs and SLMs), you can use Ollama (to run SLMs on your laptop, like Phi-4, TinyLlama), or Fireworks AI (to run LLMs via endpoint, like Qwen 3, Kimi K2, DeepSeek R1), then explore LangChain & LangGraph (these two tools will  teach you a lot), then you can move into learning Agentic frameworks like CrewAI, AutoGen. 

💻 Pro-tip: Start with cookbooks!

〰️〰️〰️
Follow me (Aishwarya Srinivasan) for more AI insight and subscribe to my Substack to find more in-depth blogs and weekly updates in AI: https://lnkd.in/dpBNr6Jg

Hundreds of AI minds gathered in Central Park on a chilly Saturday morning, it was incredible :)

The past weekend in New York felt like one of those moments where community completely surprises you in the best way.

I was traveling to the city for a work event, and my friend Pranjal and I had a thought- What if we host a small AI meetup on Saturday morning in Central Park? Nothing fancy, just a space for people to connect.

So we put up a quick Luma link and shared it on LinkedIn. We expected maybe a handful of people. Instead, the sign ups crossed 450+. 

We put a small table with coffee, muffins, cookies and some cool swag- thanks to Teachable. We weren’t sure how it would go. We just hoped people would show up.

What happened next honestly moved me.

We reached the park at 9.20am to set up for a 10am meetup, and people were already there. In the cold. On a Saturday morning. People had traveled from Boston, Maryland, upstate New York, New Jersey, even Philadelphia. I kept talking to folks thinking, you really came all this way… for this?

The meetup was meant to last two hours. People stayed until 3pm! Almost six hours of conversations about AI, careers, ideas, and everything in between. No microphones. No agenda. Just humans connecting because they care about the same things.

This experience reminded me of something I tend to forget- community doesn’t need perfect planning. It needs intention. It needs genuine people. And it needs a space where everyone feels welcome.

I’m grateful to every single person who showed up. You made this morning unforgettable, and you reminded me why I love building in this space.

Shout-out to Aditya Suresh and Pranam Daga for helping us with putting this together ❤️

There is a quiet moment every November when life slows down just enough for reflection. I never grew up celebrating Thanksgiving. Back home in India, I didn’t even know what it meant. But after moving to the US, watching my friends celebrate, watching sitcoms where families gathered around food and gratitude, I started understanding the deeper meaning behind it.

A moment to pause.
A moment to look around.
A moment to look back.

This year, gratitude feels a little different for me. A little heavier in the best possible way.

I feel grateful for a life where I get to wake up every day and do work I genuinely love. AI is chaotic and intense and fast. Yet it gives me energy. It gives me purpose. And I feel lucky to be part of this ecosystem during a time when everything is shifting.

I feel grateful for the people who hold me steady.
A mom who pushed me when the world expected her to play it safe. A mom who defied every norm to carve space for me to choose ambition without apology.

A husband who is involved in my life in the most beautiful way supportive is honestly an understatement. He is a true partner in every single thing I do. He listens to every idea, every frustration, every new plan I dream up and he backs me with a kind of belief that strengthens my own. Chinnu amma and Chinnu appa who patiently listen to my ten year entrepreneurial plans and cheer for me with the kind of warmth only family can give.

Mentors and colleagues who let me thrive creatively who challenge me in the right ways who make every room I walk into feel lighter and more possible.

I feel grateful for health. For a body I get to take care of. For the time I carve out to move, to eat well, to nurture myself. It took years to realize that taking care of your body is also taking care of your dreams.

And I feel grateful for the little girl I used to be the one who sat with a notebook and wrote her goals on every page the one who kept believing she would get there someday. If I could talk to her today, I would tell her that she is doing great and that her stubborn belief in herself was worth it.

Thanksgiving may not be something I grew up with, but it has become a reminder to pause and appreciate the rarest gift of all the good people around you. People who are genuinely supportive, genuinely positive, and genuinely rooting for you.

I am grateful for all of it.
And grateful for everyone who has been part of my journey so far.

If you are reading this, I hope you take a moment to celebrate the smallest wins, the unexpected joys, and the people who make your life feel expansive.

li_at

JSESSIONID

What an electrifying afternoon! Absolutely delighted to have joined the Mayfield AI List honorary lunch at the beautiful Golden Gate Club in San Francisco.

The room was filled with the brightest minds in the AI VC world. it was a privilege to meet and listen to inspiring leaders like Navin Chaddha, Aparna Chennapragada and Garry Tan. 

I had the opportunity to host a focused roundtable, diving deep into the current state of the industry. We tackled the crucial discussion around Perception vs. Reality of AI, analyzing current hype cycles, and zeroing in on investment opportunities that hold real long-term potential.

It’s moments and small-group settings like these, where leaders can candidly discuss where the real value lies beyond the buzz, that drive the industry forward.

Huge thanks to the Mayfield and Startup Grind team (special shoutout to James Gee and Fadia Frangie Doumat) for hosting and for the award ♥️

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Wrapped up AI Dev 25 hosted by DeepLearning.AI

More than 1400 AI developers gathered in one space, and the energy was something you could feel instantly. Meeting so many builders and hearing what you’re creating reminded me why this community moves the needle the way it does.

Hearing Andrew Ng talk about the future of work was a standout moment. The way he encourages everyone on his team to code, regardless of background, is exactly the kind of mindset shift this era needs. AI literacy is becoming a baseline skill, and he articulated that perfectly.

Our panel with Michael Kearns, Hatice Ozen, Kay Zhu, and Josh Gordon covered how the ecosystem is evolving across the stack, from Groq , Google, and Amazon Web Services (AWS)  to Fireworks AI and how teams like Genspark are using RFT on Fireworks AI in production workflows. We also touched on multi-agent systems, practical best practices, and where developer tooling still needs to mature.

I also loved my conversation with Michael Kearns on responsible AI and how that thinking has evolved from classic ML days to the generative era. His perspective at the intersection of academia and industry always leaves me thinking differently.

Grateful for the conversations and connections today. If we met, thank you for stopping by. If we didn’t, I’m always happy to keep the discussion going. There’s a lot to build, and we’re still early.

Thank you DeepLearning.AI team for having me ❤️

When you’re an AI engineer, the worst bottleneck isn’t writing code. It’s navigating everything around the code.

Last week I tried out Rovo Dev from Atlassian and it really changed how I approach dev work, plus how I see AI agents changing the landscape of software engineering.

𝗪𝗵𝗮𝘁 𝗶𝘀 𝗥𝗼𝘃𝗼 𝗗𝗲𝘃?
RovoDev is an AI agent built to live inside your dev workflow, including your code, your issues (let’s say in Jira), your docs (let’s say in Confluence), your pull requests. 

It helps you move from idea → code → deployment with fewer context switches.

𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝗮𝘁 𝗜 𝗻𝗼𝘁𝗶𝗰𝗲𝗱 𝗮𝗳𝘁𝗲𝗿 𝘂𝘀𝗶𝗻𝗴 𝗶𝘁:
→ I asked in plain English: “What does this module do? Where are its dependencies?” and got a clear breakdown, no digging through 3 dozen files.
→ I linked my GitHub/Bitbucket + Jira and was able to surface relevant issues, test failures and comments in one context instead of switching tools.
→ The CLI experience (yes, in my terminal) allowed me to trigger agents to draft tests, summarise PRs, or suggest refactoring ideas, without leaving my code. 

𝗪𝗵𝘆 𝗶𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀?
What I realized after using Rovo Dev is that the real time-sink in engineering isn’t writing code, it’s in fact more about re-orienting yourself.

Jumping between Jira, Confluence, and your repo just to understand context.
Trying to figure out why something was built the way it was.
And then losing your train of thought before you can even start solving the problem.

Well, that's where Rovo Dev actually helps close that gap.

If you’ve ever joined a new project and spent hours just piecing together what’s going on, or if you constantly find yourself switching between tools to get one small thing done, you should try this out: fandf.co/42MTjr8 

Thank you Atlassian for partnering with me on this post, and giving me access to Rovo Dev to test it out :)

#AtlassianPartner

This is one of the best resources for aspiring AI engineers, that covers all the basics - advanced in classroom teaching: https://lnkd.in/dgr5zEve

Highly recommend saving this so you can come back to it later.

Goldmine for aspiring AI Engineers

Lately, I’ve noticed something interesting in the AI startup world.

The ones growing the fastest aren’t building the next big model.

They’re building agentic systems.
AI that doesn’t just talk, it does.
Copilots that summarize meetings.

Agents that predict churn or handle internal ops automatically.

These aren’t demos anymore. They’re real products driving revenue.

What separates the ones that scale from the ones that stall comes down to one thing : Data.
Every great agent lives and dies by how it manages memory, retrieval, and reasoning speed.
And that’s exactly why so many founders I work with build on MongoDB Atlas.

It’s not just a database.
It’s the data layer that brings structured, unstructured, and vector data together so your AI can actually reason in real time.

If you’re a startup building AI that acts, not just talks, go check out the MongoDB Startup Program: https://fandf.co/493VsD1

#MongoDBPartner

🚨Context Engineering for GenAI Workshop happening tomorrow!

In this session, we’ll dive deep into:
→ What context really means in LLMs and how it shapes performance

→ The toolkit that helps you engineer it better: Summarization, Pruning, Query Rewrite, RAG, Context Offloading, Isolation, and Memory

→ How to optimize for accuracy, cost, and reliability across use cases

→ A live demo showing how these ideas come together in real time

This workshop is for every engineer who wants to move beyond prompt tuning and start thinking like a system designer.

🧩 Context Engineering
📅 November 8
🕐 1.5 hours
🎙️ with Arvind Narayanamurthy & me

🎟️ Save your spot: https://lnkd.in/dvFmMiRr

If you’re an AI engineer today, you should absolutely get familiar with Model Context Protocol (MCP) and Responses API. These two are becoming the backbone of modern agentic systems.

Let’s unpack why 👇

1️⃣ MCP: The Connector Layer

Model Context Protocol (MCP) standardizes how models connect to external tools, APIs, and live data.

Think of MCP as the wiring system that allows your LLM to talk to the outside world, like tools, databases, vector stores, or your company APIs.

When you build or host your own MCP server, you’re giving your model new abilities to reason, act, and fetch context beyond what’s in its prompt.
This is what turns a plain LLM into an agent.

If you’re working on production-grade AI systems, you’ll often need to:
→ Integrate custom tools or data sources
→ Maintain context across multiple steps
→ Ensure reliable tool invocation and streaming

MCP makes all that possible.

2️⃣ Fireworks AI Responses API

Once your MCP setup is ready, the Responses API is how you connect it to the model.

It’s a next-generation SDK that powers conversational AI. It supports:
→ Stateful conversations (previous_response_id)
→ Real-time streaming for interactive apps
→ Tool calling and safe execution

The Fireworks Responses API follows the same schema and format as OpenAI’s Responses endpoint.

So if you’ve been using OpenAI models, you can switch to open-source models on Fireworks AI with almost zero code change.

You’ll unlock faster inference, lower latency, and broader model choice, including open models like Qwen, Mistral, Llama, and Gemma hosted natively on Fireworks AI.

You can even mix and match:
✅ Use MCP to extend model capabilities
✅ Use Responses API to orchestrate reasoning, tool use, and streaming

That’s the magic combo powering many of today’s most advanced agentic systems.

3️⃣ Why This Matters

Agentic systems aren’t built with just a model call.
They’re built with context, memory, and actions. MCP and the Responses API make that orchestration reliable, stateful, and production-ready.

If you’re serious about building enterprise-grade AI apps, start experimenting with:
→ MCP Examples (connecting to MCP servers and invoking tools)
→ Conversation Chaining (using previous_response_id to continue dialogue)
→ Streaming Output (for responsive real-time interfaces)
→ Ephemeral Mode (for privacy-friendly, non-persistent interactions)

Happy Building 🚀
〰️〰️〰️
Follow me (Aishwarya Srinivasan) for more AI insight and subscribe to my Substack to find more in-depth blogs and weekly updates in AI: https://lnkd.in/dpBNr6Jg

If you’re an AI engineer or an AI leader looking to level up your skills in LangChain and LangGraph, this one is for you.

I’m teaming up with Arvind Narayanamurthy  for a beginner–intermediate, 1.5 hour hands-on workshop where you’ll learn how to move from simple prompts to real AI applications and agentic workflows.

Why this matters
- Most engineers know how to prompt. Few know how to orchestrate.
- LangChain and LangGraph are becoming the backbone of production AI systems.
- If you want to build or lead AI engineering teams, you need these mental models.

What you’ll learn
- Foundations of LLM orchestration and where LangChain fits
- Essential building blocks: chat models, prompting patterns, structured outputs, LCEL
- Tool calling with MCP adapters
- RAG basics end to end
- LangGraph workflows and agentic architectures
- Two live labs: a micro-app and a simple agent
- Quick dive into LangSmith for debugging

The workshop is recorded, and everyone gets the replay.

If you want practical, real-world skills to build modern AI systems, this is the one to sign up for.

Grab your seats: https://lnkd.in/eW2WZdcf

Are you wondering where the AI industry is actually headed? 
Every week brings a new framework, a new toolkit, a new acronym. But beneath all the noise, one truth is becoming clearer: the real moat isn’t the model, it’s the combination of data and AI. 
 
AI is the toolkit. 
Data is the substance. 
AI gives us reasoning power. 
Data gives us understanding. 

That connection came to life at Snowflake BUILD 2025, where the  focus wasn’t on hype, it was on grounding AI in reality. 
 
We saw how Snowflake Intelligence lets teams ask complex questions in natural language and get trusted answers from governed data. How the Cortex Agents API enables developers to build domain-specific agents that reason and collaborate. And how the Managed MCP Server securely bridges external AI systems to enterprise data, turning “agentic AI” from an idea into something production-ready. 
 
Even unstructured data, the 80 % of information hidden in PDFs, chats, and documents, is now first-class and accessible through simple AISQL queries. 
 
This feels like a turning point. 
The next era of AI won’t be defined by bigger models, but by deeper integration between data and reasoning. 
 
AI without data is just potential. 
Data without AI is just storage. 
Together, they become intelligence. 
 
#SnowflakePartner #SnowflakeBUILD

If you’re an AI engineer trying to understand agentic systems, keep reading 👇

A single-agent system relies on one model to do everything: reasoning, planning, execution, and validation. It’s efficient for simple, sequential tasks but quickly breaks down as workflows grow more complex or interdependent.

A multi-agent system, on the other hand, distributes intelligence across specialized agents that collaborate. Each has its own role, memory, & context - and together, they solve problems that a single model can’t handle alone.

But here’s what most people miss: there’s no standard architecture.

A multi-agent system is like Lego blocks, you design it for your use case.

You can build:
→ a supervisor agent managing sub-agents
→ a hierarchical setup with layered control
→ or a hybrid model combining centralized planning and peer coordination
The challenge isn’t in building agents, it's in managing how they talk to each other.

Three reasons multi-agent systems often fail:

❌Memory fragments across agents.
Each agent keeps its own context. When one agent hands work to another, subtle details get lost or duplicated. Without a shared memory layer or context synchronization, agents start “forgetting” what the others already know.

❌Operational costs multiply.
What costs $0.10 for a single agent might cost $1 when ten agents coordinate. Every message, validation step, or context handoff adds latency, token cost, and complexity. At scale, coordination overhead often outweighs the benefit of specialization.

❌ Write conflicts cascade.
If multiple agents write to the same source of truth: a shared database, knowledge base, or document, their changes can collide. One agent updates a schema, another updates logic on top of the old version, and suddenly the system’s state fragments.

TL;DR: Not every workflow needs a multi-agent setup.

When tasks are independent, read-heavy, and parallelizable, multi-agent systems shine. But for sequential logic and tight dependencies, a single-agent pipeline is still faster, cheaper, and easier to maintain.

As always, Galileo has published a new phenomenal free handbook- Mastering Multi-Agent Systems.
 
If you want to go deeper into how these systems work, why they fail, how to evaluate them, explore different architectures, and even build LLMOps around them, this is one of the best reads out there: https://lnkd.in/diptdEC2

#GalileoPartner

Multi-Agent AI System Cheatsheet 

I learned Design Thinking on my first day as a data scientist at IBM, and it quietly became one of the most useful mindsets in my AI career. It taught me to slow down, understand the real problem, and build solutions that actually land with users.

Here’s how I still use it today:

→ Solve the right problem
Most AI teams jump into modeling too early. Design Thinking forces you to reframe, question assumptions, and check if the problem is even defined correctly.  

→ Diverge before you converge
Explore many possibilities, then narrow down. This prevents tunnel vision and leads to better architectures, better experiments, and better product decisions

→ Use the 2x2 grid
Am I exploring or deciding?
Am I thinking about the problem or the solution?
This simple check saves me from going down the wrong path.  

→ Observe behavior, not opinions
The real insights come from watching users, not asking them. The same applies when evaluating agents, prototypes, or internal tools.  

→ Prototype fast, assign ownership
Ideas die when nobody owns them. Execution is where Design Thinking turns into impact.  

This mindset shaped how I build AI systems then, and it still shapes how I build them now.

♻️Share this with your network

Design Thinking Framework

Last week I came home to a little surprise from OpenAI filled with their new books, 100 Chats for Studying, Career, and College Life. 

I flipped through them right away and loved how visual and genuinely interesting they’ve made each section. It feels approachable, practical, and fun in a way most tech books don’t even try for.

If you want to explore the prompts yourself, you can check them out at this link: https://lnkd.in/ddycaDAg

It’s a pretty cool resource to keep on your desk as you build, study, or just experiment with new ideas.

Here is my absolute fav one which I wish I could have used as a student 👇  
I want to understand [concept]. Explain it with an analogy to real-world items.

Let me know in the comments below which ones is your favorite?

If you’re getting started as an AI engineer, this one’s for you 👇

Here are 12 things you need to learn if you want to become a real AI engineer (or level up as one):

1️⃣ LoRA & qLoRA fine-tuning
Learn low-rank adaptation to fine-tune massive models while keeping GPU and memory usage in check.
https://lnkd.in/dxAfNJjP
https://lnkd.in/dcfhk4YB

2️⃣ Reinforcement Learning from Human Feedback (RLHF)
Understand how to align model behavior with human expectations using curated reward signals.
https://lnkd.in/da4qf5JV
https://lnkd.in/drEbQ4x2

3️⃣ Reinforcement Learning from Verifiable Rewards (RLVR)
Use simulated or programmatic reward models when human feedback is too expensive.
https://lnkd.in/dFBgDAyd

4️⃣ RAG Fundamentals
Learn how to build Retrieval-Augmented Generation systems- ingest documents, create embeddings, stitch context, and prompt LLMs.
https://lnkd.in/dFkgD6RQ
https://lnkd.in/d7v6DzEG

5️⃣ Advanced RAG Architectures
Master multi-hop retrieval, hybrid sparse-dense search, and complex reranking for multi-document use cases.
https://lnkd.in/dUrAz2D3

6️⃣ Embedding Models & Vector Databases
Benchmark sentence encoders, tune indexes (FAISS/Pinecone), and understand latency vs recall trade-offs.
https://lnkd.in/d8zeWbmn
https://learn.pinecone.io/

7️⃣ Prompt Engineering & Chain-of-Thought
Design prompts that guide reasoning step-by-step, manage templates, and dynamically inject context.
https://lnkd.in/djbJD578
https://lnkd.in/d9M75H_i

8️⃣ MCP & Agent-to-Agent Integration
Use Model Context Protocol (MCP) to coordinate LLMs with APIs and other agents for seamless A2A handoffs.
https://lnkd.in/dfjvxhvP
https://lnkd.in/dJ5NWuaK

9️⃣ Long-Context Window Strategies
Handle 100k+ token sequences using smart chunking, hierarchical retrieval, and memory-augmented architectures.
https://lnkd.in/djgkXGaZ

🔟 Model Efficiency: Quantization & Distillation
Shrink models with post-training quantization (4/8-bit), pruning, and knowledge distillation for faster, cheaper inference.
https://lnkd.in/d2iurEyv

1️⃣1️⃣ LLMOps & Model Monitoring
Build CI/CD pipelines for LLM deployment, track drift, monitor hallucinations, and set up alerting for cost or performance issues.
https://lnkd.in/dxik45e6

1️⃣2️⃣ Evaluation & Benchmarking
Measure with perplexity, ROUGE, F1, and human evaluations. Automate benchmarks to compare models at scale.
https://lnkd.in/dP_NJXg9

〰️〰️〰️〰️
♻️ Share this with your network 
🔔 Follow me (Aishwarya Srinivasan) for data & AI insights, and subscribe to my Substack to find more in-depth blogs and weekly updates in AI: https://lnkd.in/dpBNr6Jg

If you’re getting started with building AI agents, this Agentic AI Toolkit Cheatsheet will come in handy 👇

You’ll quickly realize it’s not just about choosing a model. You need orchestration, memory, retrieval, evaluation, and a solid deployment stack.

And if you’re not careful, your architecture turns into a mess of disconnected tools.

That’s why I put together this Agentic AI Toolkit Cheatsheet.

It organizes the full stack of what goes into building production-grade AI agents- from model hosting to feedback loops, so you can stop guessing what’s missing in your pipeline and start shipping actual systems.

Here’s what it covers:

🔧 Foundation Models & Hosting
🎛️ Model Customization (SFT, RFT, RLHF)
🤖 Agent Frameworks
🧩 Orchestration & Workflow
📥 Data Ingestion & Preprocessing
🧠 Embedding & Retrieval
🧷 Memory & Knowledge Storage
🔌 Tool Integration
🧪 Evaluation & Monitoring
🖥️ User Interfaces
🚀 Deployment & Hosting


💡 A few tips if you’re working on your first agentic stack:

→ Choose one tool per layer to start, depth over breadth.
→ Build iteratively and introduce evaluation as early as possible.
→ Use event-driven workflows to manage complexity.
→ Think about memory and feedback as first-class components, not afterthoughts.


📌 Bookmark this.
📚 Use it to audit your stack.
🛠️ Build with it.
📤 Share it with a teammate who’s lost in the sea of GenAI tooling.

〰️〰️〰️
Follow me (Aishwarya Srinivasan) for more AI insight and subscribe to my Substack to find more in-depth blogs and weekly updates in AI: https://lnkd.in/dpBNr6Jg

This Week of AI is here⚡️
Another packed week in the world of AI- here’s your quick TL;DR of everything that happened across the AI ecosystem this week 👇

- Apple Forges Billion-Dollar AI Alliance with Google for Siri Overhaul
- Anthropic Foils First Documented Large-Scale Autonomous AI Cyberattack
- World Labs Unveils Marble, A Multimodal World Model for Spatial Intelligence
- OpenAI Rolls Out GPT-5.1 with Adaptive Reasoning and Dual Personalities
- Microsoft Creates MAI Superintelligence Team Led by Mustafa Suleyman
- Google Launches ‘Agentic Checkout’ and AI Shopping Tools for Holiday Season
- IBM Joins OpenSearch Software Foundation as Premier Member

♻️ Share this with your network
🔔 Follow me (Aishwarya Srinivasan) for no BS data and AI updates and insights

This week, the AI landscape was defined by blockbuster partnerships, a major infrastructure upgrade, and a chilling preview of autonomous cyber warfar

Open article: This Week in AI: Week of 16th November 2025 by Aishwarya Srinivasan • 3 min read

This Week in AI: Week of 16th November 2025

Thanksgiving week, yet a lot happening in this week in AI!
Catch everything you need to know here 👇

Vision-Language Models connect what AI sees with what it reads and reasons.

They’re the foundation of AI systems that can interpret charts, medical images, retail shelves, or product catalogs.

But a generic VLM doesn’t understand your domain’s visual language.
That’s where fine-tuning becomes essential.

𝐖𝐡𝐲 𝐟𝐢𝐧𝐞-𝐭𝐮𝐧𝐢𝐧𝐠 𝐚 𝐕𝐋𝐌 𝐦𝐚𝐭𝐭𝐞𝐫𝐬

A pretrained VLM already knows the basics of visual-text reasoning.
Fine-tuning helps it specialize for your domain.

→ In healthcare, it learns to detect anomalies in MRIs and X-rays.
→ In retail, it interprets shelf images and product layouts.
→ In enterprise, it extracts structured data from invoices and reports.

You’re not rebuilding intelligence, you’re refining perception to fit your use case.

𝐇𝐨𝐰 𝐋𝐨𝐑𝐀 𝐦𝐚𝐤𝐞𝐬 𝐢𝐭 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭

Full model fine-tuning is expensive and compute-heavy.
Low-Rank Adaptation (LoRA) keeps the base model frozen and trains only small adapter layers.

That means:
→ Faster training cycles
→ Smaller memory footprint
→ Lower compute costs
→ Domain adapters that are easy to swap in and out

You can maintain one base model and multiple lightweight adapters for each use case such as invoices, medical forms, or retail analytics.

𝐈𝐧𝐬𝐢𝐝𝐞 𝐚 𝐕𝐢𝐬𝐢𝐨𝐧-𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥

A VLM has three main components:
→ 𝐕𝐢𝐬𝐢𝐨𝐧 𝐄𝐧𝐜𝐨𝐝𝐞𝐫 converts pixels into visual tokens.
→ 𝐅𝐮𝐬𝐢𝐨𝐧 𝐋𝐚𝐲𝐞𝐫 combines visual and text context for reasoning.
→ 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐃𝐞𝐜𝐨𝐝𝐞𝐫 generates captions, summaries, or structured responses.

Each layer introduces potential failure modes like poor resolution, misaligned regions, or verbose hallucinations. Fine-tuning improves alignment and reliability across these components.

𝐓𝐡𝐞 𝐟𝐢𝐧𝐞-𝐭𝐮𝐧𝐢𝐧𝐠 𝐥𝐢𝐟𝐞𝐜𝐲𝐜𝐥𝐞

→ 𝐃𝐚𝐭𝐚 𝐝𝐞𝐬𝐢𝐠𝐧: Collect diverse, high-quality, clearly labeled visuals.
→ 𝐓𝐚𝐬𝐤 𝐝𝐞𝐟𝐢𝐧𝐢𝐭𝐢𝐨𝐧 : Choose the right setup: captioning, VQA, extraction, or localization.
→ 𝐋𝐨𝐑𝐀 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠: Train adapters for each domain efficiently.
→ 𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧: Use both quantitative metrics and human review for grounding and accuracy.

Always evaluate across different slices such as document type, lighting, and template to surface hidden biases.

𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐚𝐧𝐝 𝐫𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲

Each domain adapter should have its own dataset lineage, version, and evaluation score.
Reliability requires attention to fairness, privacy, consistency, and uncertainty handling.
Fine-tuning doesn’t just improve accuracy, it strengthens governance and ethical alignment.

LoRA fine-tuning makes VLMs faster to adapt, cheaper to deploy, and more aligned with your real-world data. 

〰️〰️〰️
Follow me (Aishwarya Srinivasan) for more AI insight and subscribe to my Substack to find more in-depth blogs and weekly updates in AI: https://lnkd.in/dpBNr6Jg

I AM BACHELOR OF TECHNOLOGY STUDENTS IN TECHNOCRATS INSTITUTE OF TECHNOLOGY AND SCIENCE || FRONTEND DEVELOPER || C++ (DSA)|| @CODECHEF 800 PROBLEM SOLVED|| CODECHEF ⭐⭐ STAR || GFG INSTITUTE RANK 40✴️✴️|| INFLUENCER

Himanshu Choure

Your hard skills get you in the door, but your soft skills get you the corner office.

Master these 8 non-negotiable soft skills to future-proof your career.
Technical expertise is a given. What truly differentiates top performers is their mastery of essential human skills. Here's the ultimate toolkit:

🗣️ Communication: Speak clearly & listen actively.

🤝 Teamwork: Be reliable & build trust.

🔄 Adaptability: Embrace change as an opportunity.


💡 Problem-Solving: Find solutions, not excuses.

⏰ Time Management: Prioritize ruthlessly.

❤️ Emotional Intelligence: Manage yourself & understand others.

💪 Work Ethic: Consistency beats talent.

⚖️ Conflict Resolution: Stay calm & focus on common ground.

Investing in these skills isn't just good for your career—it's essential.

Follow Himanshu Choure 

#SoftSkills #CareerGrowth #ProfessionalDevelopment #Leadership #WorkplaceSkills #CareerAdvice #SuccessMindset #EmotionalIntelligence

Master skills 

𝗧𝗿𝘂𝘀𝘁 𝗶𝘀 𝗲𝗮𝗿𝗻𝗲𝗱, 𝘀𝘁𝗮𝗿𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗮𝗻 𝗵𝗼𝗻𝗲𝘀𝘁 𝗿𝗲𝘀𝘂𝗺𝗲.

Here are 10 common lies that can cost you your credibility - and your job:

✔️Inflated Job Titles - Calling yourself a 'Manager' when you were a 'Coordinator'

✔️Exaggerated Responsibilities - Claiming you led projects you only supported

✔️Fake Education - Listing degrees or certifications you never earned

✔️Fabricated Employment Dates - Extending dates to hide career gaps

✔️Overstated Skills - Claiming expertise in software you've barely used

✔️False Achievements - Inflating sales numbers or taking credit for team wins

✔️Made-Up References - Providing fake contacts or friends as former managers

✔️Nonexistent Companies - Creating fictional employers to fill employment history

✔️Misrepresented Internships - Presenting volunteer work as full-time roles

✔️Fake Promotions - Claiming promotions you never received

Remember: Background checks are thorough, and discovered lies lead to rescinded offers or termination. Your authentic experience, framed powerfully, is always more valuable than a fabricated one.


Follow Himanshu Choure  for more insights.
#ResumeTips #CareerAdvice #JobSearch #HR #ProfessionalIntegrity #BackgroundCheck

Mistakes on resume 

𝗝𝘂𝘀𝘁 𝗲𝗺𝗮𝗶𝗹𝗲𝗱 𝘆𝗼𝘂𝗿 𝗿𝗲𝘀𝘂𝗺𝗲? 𝗛𝗼𝘄 𝘆𝗼𝘂 𝘀𝗲𝗻𝗱 𝗶𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀 𝗮𝘀 𝗺𝘂𝗰𝗵 𝗮𝘀 𝘄𝗵𝗮𝘁’𝘀 𝗶𝗻 𝗶𝘁.💡

A strong email can set the tone, showcase your professionalism, and increase your chances of landing an interview. Whether you’re reaching out cold, following up, or accepting an offer—clarity and confidence are key.

📌 Attach your resume as a PDF.
📌 Write a clear, concise subject line.
📌 Personalize the greeting.
📌 Briefly highlight your fit for the role.
📌 Include a call to action.

Ready to refine your approach? Save these email templates for your next application! 🚀

𝗙𝗼𝗹𝗹𝗼𝘄 !!!! Himanshu chaure 

#JobSearch #CareerTips #Resume #EmailEtiquette #JobApplication #HiringNow

How to email a resume best template 

𝗧𝘂𝗿𝗻 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀 𝗶𝗻𝘁𝗼 𝗼𝗳𝗳𝗲𝗿𝘀 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲𝘀𝗲 𝗽𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗽𝗵𝗿𝗮𝘀𝗲𝘀. 💼

Words create impact. Use these 11 strategic phrases to stand out and get hired:

🎯 𝙎𝙩𝙖𝙧𝙩 𝙎𝙩𝙧𝙤𝙣𝙜: "What about my experience made you want to speak with me?"

🔥 𝙎𝙝𝙤𝙬 𝙋𝙧𝙚𝙥𝙖𝙧𝙖𝙩𝙞𝙤𝙣: "I loved the job description's focus on [specific challenge]."

📈 𝙋𝙚𝙧𝙛𝙚𝙘𝙩 𝙔𝙤𝙪𝙧 𝙋𝙞𝙩𝙘𝙝: "I'm a [role] known for delivering [impact]."

💎 𝙌𝙪𝙖𝙣𝙩𝙞𝙛𝙮 𝙍𝙚𝙨𝙪𝙡𝙩𝙨: "In short, my actions led to [result] and improved [outcome]."

🔄 𝗔𝗱𝗱𝗿𝗲𝘀𝘀 𝗪𝗲𝗮𝗸𝗻𝗲𝘀𝘀𝗲𝘀 𝗦𝗺𝗮𝗿𝘁𝗹𝘆: Link a minor weakness to a core strength.

🚀 𝗘𝘅𝗽𝗹𝗮𝗶𝗻 𝗝𝗼𝗯 𝗖𝗵𝗮𝗻𝗴𝗲𝘀: "I'm seeking roles that better align with my strengths."

🎖️ 𝗗𝗲𝗳𝗶𝗻𝗲 𝗦𝘂𝗰𝗰𝗲𝘀𝘀: "What would it take to earn the highest rating in year one?"

🧩 𝗧𝗮𝗰𝗸𝗹𝗲 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀: "What's the biggest challenge for the person you hire?"

📅 𝗦𝗵𝗼𝘄 𝗜𝗻𝗶𝘁𝗶𝗮𝘁𝗶𝘃𝗲: Briefly outline your 30-60-90 day plan.

❤️ 𝗖𝗹𝗼𝘀𝗲 𝘄𝗶𝘁𝗵 𝗣𝗮𝘀𝘀𝗶𝗼𝗻: "This role excites me because it aligns with my career path."
🤝 Get the Inside Track: "What skills should I emphasize for the next step?"

Master your narrative. Get the offer.

Follow Himanshu Choure 

#JobInterview #CareerTips #Hiring #InterviewSkills #JobSearch #CareerAdvice #GetHired

11 interview phrases that get you hired 

💥 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗕𝘂𝗶𝗹𝗱 𝗮 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗣𝗿𝗼𝗳𝗶𝗹𝗲 𝗧𝗵𝗮𝘁 𝗧𝗿𝘂𝗹𝘆 𝗦𝗲𝗹𝗹𝘀 𝗬𝗼𝘂𝗿 𝗦𝘁𝗼𝗿𝘆?


Here’s the ultimate LinkedIn Branding Prompt you can use 👇

You are a Linkedin branding expert with a focus on personal branding and career development.

1️⃣ Your task is to help me create a compelling Linkedin headline based on my resume. I am currently working as a [Your Role] specializing in [Your Domain]. The headline should capture my key skills and areas of expertise, keeping the character limit to 220.

2️⃣ For each role listed in my resume, I need a 150-word Linkedin experience section. Each section should highlight the most significant results and impact of my work. Please focus on measurable outcomes.

3️⃣ Write a 300-word engaging 'About' section for my Linkedin profile. It should reflect my key skills, experience, career goals, and achievements. Begin with a strong hook in the first paragraph, maintain a conversational tone throughout, and end with a clear call to action.

Follow Himanshu Choure 

#LinkedInBranding #PersonalBranding #CareerGrowth #LinkedInTips #ProfessionalDevelopment #LinkedInContent #BrandYourself #JobSearch #CareerSuccess #BuildYourBrand

7 website that teach you 

Is your mindset what's separating you from the top 1%?

The Mindset Gap: 99% vs. The Top 1%
The biggest differentiator in success isn't always skill or luck—it's mindset. Here’s a point-by-point comparison:

📌On Waking Up:

99%: "I hate my alarm." (Sees waking as a chore)

Top 1%: "I'm blessed to wake up." (Sees waking as an opportunity)

📌On Work:

99%: "Do I really have to work?" (Views work as an obligation)

Top 1%: "I'm glad I get the chance to work." (Views work as a privilege)

📌On Facing Challenges:

99%: "This is exhausting." (Focuses on the struggle)

Top 1%: "I'm getting stronger." (Focuses on the growth)

The Bottom Line: Your internal narrative dictates your external reality. Success is less about what you do and more about the mindset you cultivate while doing it. Choose your perspective wisely.

💯Looking for flexible online income? These 5 websites actually pay.


1️⃣ Study.com - Get hired as a writer, editor, or reviewer. All you need is a computer, Wi-Fi, and solid writing skills.

2️⃣ Rev.com - Make money transcribing audio and video files. Work when you want, paid per audio minute. Great for flexible schedules.

3️⃣ Appen.com - Complete simple tasks to help train Al. Easy to start, no experience needed, and pays weekly.


4️⃣ Studypool.com - Get paid to help students with homework or answer specific questions in your area of knowledge.

5️⃣ Sigtrack.com - Do data entry for grassroots political campaigns. Just need a U.S. ID, computer, and internet.


#Mindset #Success #GrowthMindset #PersonalDevelopment #Motivation #Leadership #Productivity #Career

Mindset 

𝗙𝗲𝗲𝗹𝗶𝗻𝗴 𝗽𝗿𝗲-𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗷𝗶𝘁𝘁𝗲𝗿𝘀? 𝗬𝗼𝘂'𝗿𝗲 𝗻𝗼𝘁 𝗮𝗹𝗼𝗻𝗲. 𝗕𝘂𝘁 𝘆𝗼𝘂 𝗰𝗮𝗻 𝘁𝘂𝗿𝗻 𝘁𝗵𝗮𝘁 𝗻𝗲𝗿𝘃𝗼𝘂𝘀 𝗲𝗻𝗲𝗿𝗴𝘆 𝗶𝗻𝘁𝗼 𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝘁 𝘀𝘂𝗰𝗰𝗲𝘀𝘀.

Here are 12 essential tips to calm your nerves and own your next interview:

 1 📚 Prepare Thoroughly: Research and practice until you feel confident.

2🗂 Get Organized: Lay out your outfit and materials the night before.

3🧘 Use Relaxation Techniques: Practice deep breathing or meditation.

4💭 Visualize Success: Picture yourself acing the interview.

5🦸 Adopt a Power Pose: Boost confidence with your body language.

6⏰ Arrive Early: Avoid last-minute stress.

7🎵 Listen to Calming Music: Set a positive and relaxed mood.

8🔄 Focus on the Opportunity: It’s a conversation, not an interrogation.

9💬 Use Positive Self-Talk: Replace doubt with affirmations.

10🚶 Take a Walk: Shake off excess nervous energy.

11💧 Stay Hydrated & Eat Light: Fuel your body wisely.

12✨ Remember Your Value: Reflect on your skills and accomplishments.

Which tip will you try first? Share in the comments!

𝗙𝗼𝗹𝗹𝗼𝘄  𝗛𝗶𝗺𝗮𝗻𝘀𝗵𝘂. 𝗰𝗵𝗮𝘂𝗿𝗲 𝗳𝗼𝗿 𝘀𝘂𝗰𝗵 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀


#InterviewTips #CalmYourNerves #JobInterview #CareerAdvice #Mindset #Confidence #ProfessionalDevelopment #JobSearch #Success #InterviewPreparation

12 essential tips 

𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀 𝗮𝗿𝗲 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝗷𝘂𝘀𝘁 𝗤&𝗔 𝘀𝗲𝘀𝘀𝗶𝗼𝗻𝘀, 𝘁𝗵𝗲𝘆'𝗿𝗲 𝘆𝗼𝘂𝗿 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 𝘁𝗼 𝘁𝗲𝗹𝗹 𝗮 𝗰𝗼𝗺𝗽𝗲𝗹𝗹𝗶𝗻𝗴 𝘀𝘁𝗼𝗿𝘆 𝗮𝗯𝗼𝘂𝘁 𝘄𝗵𝗼 𝘆𝗼𝘂 𝗮𝗿𝗲, 𝘄𝗵𝗮𝘁 𝘆𝗼𝘂'𝘃𝗲 𝗱𝗼𝗻𝗲, 𝗮𝗻𝗱 𝘄𝗵𝘆 𝘆𝗼𝘂'𝗿𝗲 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗳𝗶𝘁.

Here are 11 critical elements to make sure you highlight:

1. Your Qualifications Explain how your skills, experience, and achievements line up with the role. Use real examples and numbers to back it up.

2. Understanding of the Role and Company Show that you've done your homework. Understand their mission, values, and challenges-and how you fit in.

3. Your Value Proposition What's your unique edge? Be clear about the value you bring. Example: "My expertise in [skill] helped my previous team boost efficiency by 20%."

4. Problem-Solving Skills Share how you've tackled challenges in past roles. The STAR method (Situation, Task, Action, Result) can help you tell the story clearly.

5. Adaptability and Growth Mindset Talk about how you've embraced change or picked up new skills to stay sharp and relevant.

6. Communication Skills Speak clearly, listen actively, and engage with intention. Great communication always stands out.
7. Cultural Fit and Enthusiasm Let them see that you align with their values-and that you're genuinely excited about the role.

8. Teamwork and Collaboration Highlight how you work with others. Think back to moments where teamwork led to success.

9. Career Goals and Alignment Share how this position fits into your larger professional journey. Example: "I'm excited about this role because it supports my long-term passion for [industry/role]."

10. Relevant Accomplishments Bring up wins that show you can deliver results. Example: "I led a project that increased revenue by 15% in six months."

11. Thoughtful Questions Always come prepared with questions. It shows interest, curiosity, and initiative.

Covering these areas not only helps you stand out but also leaves a strong and lasting impression.

↪️What's one thing you always try to communicate during an interview?

Follow Himanshu Choure for more insights.

11 Critical elements to convey during interview 

𝗬𝗼𝘂𝗿 𝗵𝗼𝗼𝗸 𝗶𝘀 𝘆𝗼𝘂𝗿 𝗵𝗮𝗻𝗱𝘀𝗵𝗮𝗸𝗲—𝗺𝗮𝗸𝗲 𝗶𝘁 𝗳𝗶𝗿𝗺.

Here are 6 ways to write a perfect hook:

🔹 One-Liners - Short, punchy, and direct
🔹 Mention Results - Show what you deliver
🔹 Ask Questions - Trigger curiosity
🔹 Explain Process - Build trust with roadmap
🔹 Use Keywords - Boost search visibility
🔹 Add Numbers - Make claims concrete

A strong hook is your key to unlocking visibility and engagement. Stop whispering on your stage—it's time to be heard. 🚀


Follow  Himanshu Choure For more insights.

#LinkedInTips #PersonalBranding #ContentCreation #LinkedInStrategy #CareerGrowth #HookWriting #Engagement #SocialMediaMarketing

Hook that really helps you

The Client Demo That Almost Slipped Away

I was doing a live demo for a US-based client.

Our product had everything they wanted, but during the presentation, I noticed something.

Every few minutes, the client leaned in and said:

🥹“Sorry, could you repeat that?”

I wasn’t being unclear. It was just my accent getting in the way of smooth understanding.

That night, I discovered Krisp Accent Conversion.

🔹 Converts Indian accent into neutral American English in real time

🔹 Keeps tone, expression, and emotion intact

🔹 Works with Zoom, Meet, and Teams

🔹 Fully on-device, your data stays yours

The next demo? Flawless.
No pauses. No repetitions. Just results.

That deal turned into a long-term partnership.

Because communication isn’t about changing your identity, it’s about delivering your ideas clearly.

🔗https://lnkd.in/d9XTF8jT

Connect Himanshu Choure 

#KrispAI #IndianProfessionals #SalesSuccess #VoiceTech #GlobalClients #AccentBias

8 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐩𝐫𝐨𝐦𝐩𝐭𝐬 𝐭𝐡𝐚𝐭 𝐰𝐢𝐥𝐥 𝐜𝐡𝐚𝐧𝐠𝐞 𝐲𝐨𝐮𝐫 𝐥𝐢𝐟𝐞 𝐛𝐞𝐟𝐨𝐫𝐞 2025.

1. Use the 80/20 principle to learn faster
Prompt: “I want to learn about [insert topic].
Identify and share the most important 20% of learnings from this topic that will help me understand 80% of it.”

2. Learn and develop any new skill.
Prompt: “I want to learn / get better at [insert desired skill]. I am a complete beginner. Create a 30 day learning plan that will help a beginner like me learn and improve this skill.”

3. Learn any new skill
Prompt: “I want to learn [insert desired skill].
Create a 30 day learning plan that will help a beginner like me learn and improve this skill.”

4. Summarize long documents and articles
Prompt: “Summarize the text below and give me a list of bullet points with key insights and the most important facts.” [insert text]

5. Train ChatGPT to generate prompts for you
Prompt: “You are an Al designed to help [insert profession]. Generate a list of the 10 best prompts for yourself. The prompts should be about [insert topic].”

6. Master Any New Skill
Prompt: “I have 3 free days a week and 2 months. Design a crash study plan to master [Enter desired skill].”

7.Stand out from the crowd with a stellar resume Prompt: “Analyse my professional details below and create a persuasive resume that will help me get the job of [enter job details]:”

8. 3 Top-Notch Interview Preparation Prompt:”Act as a world-class interviewer: Ask questions about [Enter topic]. I will answer these questions. After I answer, suggest the best answer and provide another question.”


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#Lifestyle #chatgptpromt #join_now #follow

8 picture 

𝐒𝐢𝐥𝐞𝐧𝐜𝐞 𝐢𝐬𝐧'𝐭 𝐞𝐦𝐩𝐭𝐲. 𝐈𝐭'𝐬 𝐩𝐨𝐰𝐞𝐫𝐟𝐮𝐥. 𝐈𝐧 𝐚 𝐰𝐨𝐫𝐥𝐝 𝐭𝐡𝐚𝐭 𝐜𝐡𝐚𝐦𝐩𝐢𝐨𝐧𝐬 𝐬𝐩𝐞𝐚𝐤𝐢𝐧𝐠 𝐮𝐩, 𝐤𝐧𝐨𝐰𝐢𝐧𝐠 𝐰𝐡𝐞𝐧 𝐭𝐨 𝐬𝐭𝐚𝐲 𝐬𝐢𝐥𝐞𝐧𝐭 𝐢𝐬 𝐭𝐡𝐞 𝐮𝐥𝐭𝐢𝐦𝐚𝐭𝐞 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐚𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞.

True strength isn't always in what you say, but in what you choose not to. Wisdom often speaks through silence. Here are 7 powerful moments for intentional silence:

↳ Be silent if you don't know the full story.
↳ Be silent when you feel too emotional.
↳ Be silent in the heat of anger.
↳ Be silent if your words can offend a person.
↳ Be silent if your words can destroy a friendship.
↳ Be silent if you can't talk without yelling.
↳ Be silent if your silence can save bonds.

Mastering this art isn't about being quiet; it's about building trust, fostering respect, and protecting what truly matters.

𝗔𝗱𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹𝗹𝘆
 💯𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗳𝗹𝗲𝘅𝗶𝗯𝗹𝗲 𝗼𝗻𝗹𝗶𝗻𝗲 𝗶𝗻𝗰𝗼𝗺𝗲? 𝗧𝗵𝗲𝘀𝗲 𝟱 𝘄𝗲𝗯𝘀𝗶𝘁𝗲𝘀 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗽𝗮𝘆.

1️⃣ Study.com - Get hired as a writer, editor, or reviewer. All you need is a computer, Wi-Fi, and solid writing skills.

2️⃣ Rev.com - Make money transcribing audio and video files. Work when you want, paid per audio minute. Great for flexible schedules.

3️⃣ Appen.com - Complete simple tasks to help train Al. Easy to start, no experience needed, and pays weekly.


4️⃣ Studypool.com - Get paid to help students with homework or answer specific questions in your area of knowledge.

5️⃣ Sigtrack.com - Do data entry for grassroots political campaigns. Just need a U.S. ID, computer, and internet.

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#SilenceIsPower #EmotionalIntelligence #PersonalGrowth #SelfAwareness #LeadershipDevelopment #CommunicationSkills #Wisdom #Mindfulness

7 PLACE 

💯Looking for flexible online income? These 5 websites actually pay.


1️⃣ Study.com - Get hired as a writer, editor, or reviewer. All you need is a computer, Wi-Fi, and solid writing skills.

2️⃣ Rev.com - Make money transcribing audio and video files. Work when you want, paid per audio minute. Great for flexible schedules.

3️⃣ Appen.com - Complete simple tasks to help train Al. Easy to start, no experience needed, and pays weekly.


4️⃣ Studypool.com - Get paid to help students with homework or answer specific questions in your area of knowledge.

5️⃣ Sigtrack.com - Do data entry for grassroots political campaigns. Just need a U.S. ID, computer, and internet.

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𝗗𝗼𝗻'𝘁 𝗷𝘂𝘀𝘁 𝗮𝗻𝘀𝘄𝗲𝗿 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀—𝗮𝘀𝗸 𝘁𝗵𝗲𝗺. 𝗜𝘁'𝘀 𝘁𝗵𝗲 𝘀𝗲𝗰𝗿𝗲𝘁 𝘄𝗲𝗮𝗽𝗼𝗻 𝗼𝗳 𝘁𝗵𝗲 𝘁𝗼𝗽 𝟭% 𝗼𝗳 𝗰𝗮𝗻𝗱𝗶𝗱𝗮𝘁𝗲𝘀.🎯

Here are 10 smart questions to make a lasting impression:

🔍 Understand the Gap: "What skills is the team missing that you’d like this role to fill?"

🤔 Get Real Insights: "What’s something you wish you knew before joining?"

🎯 Set Early Goals: "What should I aim to accomplish in my first 90 days?"

📈 Align with Vision: "What are the company's main goals this year?"

🛠️ Gauge Challenges: "What challenges will I face early on?"

👥 Assess Collaboration: "How does the team collaborate and make decisions?"

📚 Check for Growth: "How does the team grow professionally?"

📊 Define Success: "What metrics will my performance be evaluated against?"

💡 Show Initiative: "Is there anything I should read to align better with the team?

💎 Be Memorable: "What’s something you wish candidates would ask but rarely do?"

Asking these shows you're strategic, prepared, and truly invested. Go get that offer! 💼


🔁𝐑𝐞𝐏𝐨𝐬𝐭 𝐚𝐧𝐝 𝐝𝐨𝐧'𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐟𝐨llow Himanshu  choure 


#JobInterview #CareerTips #Hiring #InterviewQuestions #CareerAdvice #JobSearch #SmartQuestions

10 Smart questions for interview 

Your mindset is your greatest asset. Level it up with these powerful Netflix documentaries:

📌Seaspiracy: Rethinks your impact on the planet.

📌The Minimalists: Less Is Now: Challenges consumerism.

📌The Mind, Explained: Unlocks the secrets of your brain.

📌The Playbook: Learn life rules from top coaches.

📌The Social Dilemma: Exposes social media's impact.

📌Blackfish: A gripping look at ethics & nature.

📌The Great Hack: Reveals data's dark power.

📌Bitcoin: The End of Money?: Explores finance's future.

Perfect for a productive screen time! Which one will you watch first


Follow Himanshu Choure for more insights.


#Netflix #Documentaries #PersonalGrowth #Mindset #SelfImprovement #Learning

8 netflix documentry 

From a Rs 30 lakh start to an Rs 11,000 cr valuation, boAt Lifestyle's hustle, innovation & strong market share make its IPO a promising investment in India's audio tech revolution. #boAtIPO https://lnkd.in/dsFMKiRk

Aman Gupta 
Sameer Mehta 
Gaurav Nayyar

Open article: boAt’s IPO reality check: From ‘Shark Tank’ fame to a Rs 1,500 crore listing by tinyurl.com

boAt’s IPO reality check: From ‘Shark Tank’ fame to a Rs 1,500 crore listing

The India AI Impact Summit 2026, an initiative by the Government of India, is set to take place in February 2026 and has unveiled three major global AI challenges — AI for All, AI by HER, and YUVAi. With a prize pool of ₹5.85 crore, these programs are designed to discover, mentor, and scale AI innovations that deliver tangible social and economic impact across key sectors.

AI for All calls for practical and scalable AI solutions in areas like agriculture, healthcare, education, and urban mobility. Open to innovators worldwide — students, startups, and enterprises — the top ten winners will share ₹2.5 crore and gain mentorship plus accelerator opportunities.
🔗 Register here: https://lnkd.in/dcTWZaDD

AI by HER is a global platform dedicated to women in AI, empowering women-led teams to present AI-driven solutions for critical global sectors such as climate, healthcare, finance, and mobility. Winners will receive grants, mentorship, investor exposure, and a sponsored showcase opportunity at the India AI Impact Summit 2026.
🔗 Register here: https://lnkd.in/dVQi5cV9

YUVAi seeks to nurture young talent aged 13–21 to create AI innovations for public good. The top teams stand a chance to win up to ₹15 lakh, participate in virtual bootcamps and investor sessions, and showcase their solutions at the grand finale in New Delhi.
🔗 Register here: https://lnkd.in/dvCNQw_Y

Applications are LIVE. Register now and be part of India’s AI innovation movement!

#IndiaAIImpactSummit2026 #AIforGood #PeoplePlanetProgress #ResponsibleAI #DigitalInfrastructure #GlobalCollaboration #AIIndia

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𝗖𝗼𝗽𝘆 𝗮𝗻𝗱 𝗽𝗮𝘀𝘁𝗲 𝘁𝗵𝗲𝘀𝗲 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗣𝗿𝗼𝗺𝗽𝘁𝘀 𝘁𝗼 𝘄𝗿𝗶𝘁𝗲 𝗮 𝗸𝗶𝗹𝗹𝗲𝗿 𝗥𝗲𝘀𝘂𝗺𝗲

Follow -  Himanshu Choure
Comment -Resume

Turn your #resume into a powerful tool that stands out!

[Save Now]

1. Enhance Visual Presentation

Prompt: Provide recommendations on how to improve the visual layout and formatting of my resume to make it more appealing and easy to read. Here's my resume: [Resume].

2. Customize for the Desired Role

Prompt: Adapt my resume to emphasize the skills and experiences that align with the [DESIRED ROLE] role.

Here's my resume: [Resume]. Here's job description: [Job Description].

3. Highlight Leadership Experience

Prompt: Review my resume to better highlight my leadership skills for a [JOB TITLE] role at [COMPANY]. Here's my resume and job description: [Paste Resume] [Job Des].

4. Refine for Impactful Language

Prompt: Enhance my resume to make my experiences sound more impactful and action-oriented for a [ROLE] position. Here's my resume: [Resume]. Here's job description: [Job Description].

5. Showcase Problem-Solving Abilities

Prompt: Review my resume and suggest ways to highlight my problem-solving skills and how they've contributed to success in previous roles. Here's my resume: [Resume].
6. Craft a Compelling Objective Statement Prompt: Based on my resume and the job description, create an objective statement that clearly communicates my goals and alignment with the [JOB TITLE] role at [COMPANY]. Here's my resume: [Resume].

Need a professional resume? Contact me for a well-structured and standout resume that highlights your skills and experience effectively.
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