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

As an AI engineer, LLM Twin is an important architecture to understand.

An LLM Twin refers to a system where a language model is designed to represent the knowledge, writing patterns, and decision logic of a specific person, team, or organization. The goal is consistency and reliability, not novelty.

At its core, an LLM Twin is built around how information flows. Think of it as 4 steps:

1️⃣ First, content is collected from real sources: blogs, internal documents, posts, code repositories, or knowledge bases. This data reflects how the person or organization actually thinks and communicates.

2️⃣ Next, the data is structured for two purposes.
One path prepares instruction-style examples that help the model learn how to respond.
Another path prepares retrieval data so the system can pull relevant context at inference time. This ensures responses stay grounded in real material.

3️⃣ Then comes training and evaluation. Models are fine-tuned where appropriate, tested against clear criteria, and versioned before deployment. This step looks very similar to traditional ML workflows, just adapted for language models.

4️⃣ Finally, at inference time, user requests are combined with retrieved context and passed through the deployed model. Monitoring is critical here: quality, latency, and cost all need to be observed continuously.

Where is this used in practice?

✦ Personal or creator assistants that help scale writing and communication
✦ Company-wide assistants that maintain a consistent product or brand voice
✦ Internal tools that answer questions based on code, docs, or prior decisions
✦ Support systems that reflect how experienced engineers respond to issues

Why should AI Engineers understand this?
This architecture reflects how GenAI systems are actually built and maintained. It forces you to think beyond prompts and focus on data quality, retrieval design, evaluation, and long-term system behavior.

My 2 cents 🤌
This is a GREAT topic to build a portfolio project around!! 

Credit: LLM Engineer’s Handbook by Paul Iusztin  and Maxime Labonne. I really like how this book breaks down AI engineering clearly and goes deep into different GenAI system architectures without hand-waving.

Over the past few months, Arvind and I've delivered seven deep technical workshops across agentic AI, RAG, context engineering, AI evals, MCP, vibe coding, and more.

One theme kept coming up: you want something more structured. Not just standalone sessions, but a clear end-to-end roadmap from A to Z.

So that’s what we’re building.

A structured, comprehensive course for:
- Hands-on builders: software, AI, and ML engineers
- AI product managers
- Tech leaders and CXOs looking to upskill meaningfully

Before we finalize it, I’d love your input. I’ve created a short survey to understand where you are, what you want to learn, and your career goals.

It takes under 10 minutes.

As a thank you, you’ll receive an additional 10% discount when we launch the course soon 🫶

Survey: https://lnkd.in/gQYeBCRP

No alternative text description for this image

Here’s my honest pattern with almost every AI tool I try.

I end up using a lot of tools, usually early access. After repeating this cycle enough times, I realized my reactions are almost predictable.

👉First hour
There’s real excitement.
I’m clicking around, testing odd prompts, trying things that used to fail. No strategy yet, just my curiosity and momentum.

👉Next few hours
I start comparing.
Where would this actually fit in my work?
What would I stop using if I kept this?
Is this clearly better, or just new?

👉Later that day
I experiment without guidance.
I skip the docs and examples on purpose. I try incomplete ideas, messy workflows, prompts I would never put in a demo. This tells me more than any tutorial ever could.

👉Day two
Then I look at the examples the team shared.
They usually work smoothly. They’re polished. They show the tool at its best, which is exactly what they’re meant to do.

👉After a few days
This is where the real understanding kicks in.
I start tweaking those examples. Changing assumptions. Using it in ways that feel realistic, not ideal. That’s when the boundaries show up. Not frustration. Just clarity.

Here’s the takeaway I’ve learned the hard way:
If you haven’t noticed limitations yet, you probably haven’t pushed the tool very far.

And honestly, if I use something consistently for three days and still can’t find a meaningful flaw, that’s rare. That earns real respect.
I haven’t experienced that yet.

Curious how others see this.
Are there tools you’ve used deeply where the limits still haven’t shown up?

Just a couple of weeks ago, Arvind and I hosted an in-person AI meetup with The Hub Bengaluru.

Over 300 people showed up in person.

Every single one of them was either already working in AI or actively trying to break into the space. The energy in the room was unreal. It genuinely felt like a room full of builders, practitioners, and people who are curious enough to go deep.

During the event, we rolled out a small challenge. We asked attendees to share a recap of what they learned, and we said we would pick one winner.

Really excited to share that Suraj V is that lucky winner 🎉
Suraj gets free access to all the The Gen Academy workshops we have hosted so far.

Huge congratulations, Suraj V!! 

Building The Gen Academy has always come from a very real observation that Arvind and I see every single day in our work. The adoption of generative AI and LLMs is moving incredibly fast, but the depth of AI engineering skills needed to build reliable systems is not keeping up.

There is a very real skill gap in AI engineering right now! There are so many curious souls who want to become AI engineers- but they aren't able to get those opportunities; and there are so many companies out there who  want to hire, but aren't finding the right talent. 

Our mission is to bridge that skill-gap!

As people who are deeply involved in this space, we felt a responsibility to help bridge that gap. Not just for people who are already experienced, but also for entry-level folks who want to build strong foundations the right way.

That is why our workshops are intentionally designed to be both intuitive and practical. We focus on theory that actually helps you reason about systems, and we pair that with hands-on demos where you build real things using modern toolkits and frameworks.

So far, we have hosted 6 workshops, and the response has been incredibly encouraging. We have trained 1500+ people already ❤️ 

Our next workshop is coming up on February 15th, and it will be focused on AI evaluations (link in comments)

Do follow The Gen Academy to stay updated on all our upcoming workshops.

Six months ago, Arvind and I started The Gen Academy with one simple goal- to create workshops that are deeply-technical, practical, cuts through the ton of noise out there, and that provides people clarity on building productive-grade AI systems.

So far we have trained 2100+ people. We’ve hosted 7 workshops, and consistently we’ve had 300–400 builders join us live.

The audience has been incredible.
- Software engineers moving into AI.
- AI engineers building LLM systems in production.
- Product leads thinking about reliability and evaluation.
- Directors and VPs from top tech and Fortune 500 companies who want to truly understand what’s under the hood.
- Even people from non-tech background who wanted to strengthen their technical fundamentals 

Recently, we hosted a workshop on AI Evaluations.

And this one felt especially important.

Because evaluating non-deterministic generative systems is fundamentally different from traditional ML evaluation.

We covered:

✦ How to evaluate non-deterministic generative AI systems
✦ How to think about benchmarks and what they actually tell you
✦ How to design your own evaluation dataset
✦ How to choose the right metrics for qualitative and system-level evaluation
✦ How to combine human evals, code-based evals, and LLM-as-a-judge
✦ A hands-on walkthrough so this isn’t just theory

If you’re building LLM applications, RAG pipelines, or agentic systems, evaluation is not optional. It is the difference between a demo and a reliable product.

If you missed the live session, we’ve shared the recording here: https://lnkd.in/gzMdbfWH

We’ll continue building these workshops for engineers who want to go beyond experimentation and into production.

More coming soon, so do follow us & The Gen Academy to get updates on our next workshops.

5 days to go! 
Arvind and I are super excited to be hosting an AI evals hands-on workshop on February 15.

It’s a 90-minute session where we’ll cover the fundamentals of AI evaluations and then actually do it together. You’ll walk away having built and reasoned through real evals yourself. 

If you’re aspiring to be an AI engineer or planning to upskill for AI roles in 2026, understanding how to evaluate LLM applications is critical.

Building an LLM app is often the easy part. Knowing whether it truly works in production is where most teams struggle.

LLM evaluation is not just about correctness anymore. You are judging usefulness, safety, faithfulness to sources, consistency across runs, cost, latency, and real user outcomes across prompts, RAG pipelines, tools, and agentic workflows.

Because this is hard, many teams fall back to vibe-evals. If a few outputs look good, they ship. That approach breaks quickly when models change, prompts regress, retrieval fails, or user behavior shifts. Without evals, problems surface only after users complain.

Why learning evals matters:
✦ Evals turn LLM development from guesswork into engineering
✦ They help catch regressions as models, prompts, or tools evolve
✦ They are essential for scaling RAG systems and agentic workflows
✦ In 2026, strong teams use hybrid evals combining automated metrics, LLM-as-a-judge, and targeted human review

Evals are no longer optional. They are a core AI skill.

In this workshop, Arvind and I will walk through how AI evals are done in real systems, with hands-on exercises so you build intuition.

This is designed for AI engineers and tech leads building systems, and even business leaders who want intuition for what “good” really means in production. Even if you are a beginner, don't worry, we will give you the foundations for you to understand everything comprehensively, and enough resources that you can review at your own pace.

If you want to level up your AI skills for 2026, register here:
https://lnkd.in/dQSR7yhU

Evaluation Resources

Fine-tuning is going to be one of the biggest focus areas for AI engineering teams this year.

We’re past the stage where calling an API is enough. The teams creating real leverage are the ones adapting models to their own data, workflows, and edge cases. Out-of-the-box models are powerful, but they are generic. Fine-tuning is where enterprises unlock meaningful efficiency gains and build real differentiation.

If you want to upskill in AI engineering, this is a topic you cannot skip.
Arvind and I are hosting a deep, hands-on workshop on Fine-Tuning LLMs.

In 90 minutes, you’ll learn:
✦ When fine-tuning makes sense and when it does not
✦ How SFT, RLHF, and DPO fit into real-world pipelines
✦ An end-to-end, code-based demo from raw data to a specialized model
✦ How to evaluate true performance improvements and avoid production pitfalls

This session is designed for software engineers, AI engineers, and data scientists, and it is equally valuable for product managers, solutions architects, tech leads, and executives working closely with model ecosystems.

If you want to move from using LLMs to actually optimizing them, this workshop will give you a practical framework to do it: https://lnkd.in/g-5gHrsY

In 2026, AI isn’t judged by a wow factor anymore.
It’s judged by whether it actually improves your workflows.

One of the most common questions I get from founders and teams I advise is how to automate go-to-market and sales properly. Real GTM automation needs deep ICP research, clear definitions, personalized messaging, and credible sources. This isn’t a one-prompt problem.

Normally, building a solid GTM or sales report would take me several hours, even with existing AI tools helping with research.

I recently got early access to Airtable’s new Superagent, and what impressed me was the approach. It didn’t treat my request as a single task. It broke it into ~16 steps, ran multiple agents in parallel, did deep research per subtask, cited sources, and stitched everything together into one structured output called a Super Report.

I used it to build a technical, informational report on AI for GTM/Sales in minutes. No fluff. No hallucinations. Just deeply researched content I could actually use with business leaders.

If your work involves building reports, decks, or MVP websites that need accuracy and depth, this feels less like “AI that makes things pretty” and more like AI that does real work.

Do check it out here: https://lnkd.in/gDkfSSG2

PS: You can get 2 months free for @Superagent, using code: AISH2FREE

#SuperagentPartner, #ad, #SuperagentbyAirtable

Fortune 100 Revenue Leader | I Help Women in Tech 👩🏾‍💻 Become more secure in their career | Google’s Outstanding Manager Award

My passion for growth runs deep.
My passion for people runs even deeper. 
I’ve coached over 15,000 women at Google through a program that continues to empower talent today! 

Guiding the next generation to step into their potential isn’t just part of my work… 
I thrive in helping ambitious professionals make Quantum Shifts in their career,
especially in an AI-driven world.

If you have an opportunity where you're looking: 
- to achieve a career pivot
- to find a new job
- to gain sought after skillsets
- to get ahead in your career
- to learn to navigate corporate systems 
- to start or scale your side business
contact me.

I've coached people at Accenture, Delta, Mastercard, Barclays, Deloitte, Google, Linkedin, entrepreneurs and many more.

If you aspire to transform yourself into a bold leader, discover my top 5% method below and APPLY NOW to explore what's next for you:
https://www.top5percentmethod.com/
Reach out at: hello@Drivingimpact.io

Katheline Jean-Pierre MSc

I built an app today.

Zero lines of code. Zero developers. Zero excuses.

because my students are busy. They're execs, high-performers, people in the middle of career pivots... and they want the Top 5% Method® Career Accelerator in their pocket, on the go... or wherever life takes them.

So I built it.
Live. By myself. In one afternoon.

With Replit, I went from "I wish I had an app" to "I have an app" 
and the whole thing felt almost unfairly easy.

This is what the new era of building looks like. You don't even need to wait anymore. You just need to start.


With replit, see how beautiful life is.
 🤍
C'est beau la vie. 

try it for yourself: https://lnkd.in/gymvyNT9

♻️ Repost if you’re ready to ship v1 today... not someday.

#Replitpartner #app #AI #replit

I Help Tech 👩🏾‍💻 Workers Become more secure in their Career, Pivot & Grow their Brand Authority | Fortune 100 Revenue Leader | Former Google, LinkedIn & Deloitte |

They don’t need your perfection.
They just need your honesty.


The insight you think is “basic”
is someone else’s breakthrough.

The lesson you learned the hard way
is someone else’s shortcut.


When you carry a gift... when you carry God’s light. When your experience could help someone move forward, it's your duty to share it.

Even if it feels ordinary to you...
It might be life-changing for THEM.

Share your gift.



🔁 If this resonates, repost it to inspire someone else.
📣  Follow me, Katheline Jean-Pierre MSc, for practical ways to build brand authority in your career and on LinkedIn.

Fortune 100 Revenue Leader | Former Google, LinkedIn & Deloitte | I Help Women in Tech 👩🏾‍💻 Become more secure in their career & pivot |

A black woman in a pink dress presenting to a crowd

For 16 years, I did what you're supposed to do.




Google. LinkedIn. Deloitte. Yahoo.
Grew Billion-dollar portfolios.
Led 70+ person teams across countries.
I checked every box....


And then I realized something.

Climbing isn’t the real work.
Codifying and architecting acceleration for people who need it is.

Over the last few years,
 I’ve worked with 15,000 professionals who decided to stop playing small.

The results they got:
- 6-figure average salary increase
- Promotions in half the time
- Roles they once thought were out of reach
- Built their brand authority
- Nailed their career pivot


Not motivation.
The systems to navigate the system (!).
These systems became The Top 5% Method.


Next week, 
I’m breaking down the framework live in an upcoming masterclass.
If you’re serious about your next level, you’ll want to be in the room.
Because I don’t coach careers. I engineer acceleration.


Comment 'TOP5' to get the secret 🤫  code for access.


Now tell me: What would happen if you stopped playing small?




♻️ Repost to help someone engineer their acceleration

The most successful people I know started scared.
They didn’t wait for courage, 
they moved through fear.

Doubt wasn’t a stop sign.
It was their actual starting point.

In my own career leaps, I’ve learned that:
• There will never be a perfect time.
• No guaranteed outcome or ideal setup.
• No flawless moment

It will be you: taking the best shot you can, 
with the skills you have today.

All you have is now,
and what you’re willing to try.

My tips as you leap:
 • Start small - on the side is fine.
 • Believe that every step matters.
 • Learn from those who’ve leapt before you.
 • Be frugal with your time, energy, and money

Most of all:
Walk in faith that the path will reveal itself as you go.
That the right people, places, and possibilities will meet you mid-leap.

You may earn more stripes.
But they’ll be yours. 


Now... 
🔥 HOT TOPIC 🔥: are you rooting for the Seahawks 🏈 or the Patriots ? 
Comment below. 



 📣 Follow me Katheline for daily leadership inspiration.

A woman with curly hair smiling and big sunglasses

Your marketing team is optimizing for impressions. 
Your finance team is crying in the corner.  🫥 😪 

The core issue is that:
Most companies optimize for efficiency. But the best ones… 
optimize for profit.

I recently read 'Be a Sequoia, Not a Bonsai' by Nicolas Darveau-Garneau.

The core idea is simple: Sequoias prioritize profitable growth. Bonsai obsess over efficiency.

That shift changes how you approach:
• Customer quality vs. customer volume
• CAC vs. actual profitability
• How marketing and finance work together
• Brand as a long-term growth lever
• Lifetime value as a strategic priority

I worked with Nick when I was at Google, and I went into it curious whether the book would reflect how he actually thinks.

And it does. 

What stood out to me is that these are the principles I saw applied inside high-performing companies and brands.
They force you to ask whether you’re optimizing what actually matters.

So you're probably optimizing for the wrong thing…. And your CFO already knows it.

So here’s the real question for you growth leaders out there:

🌲 Are you building a sequoia  or carefully trimming a bonsai?


♻️ Repost to help focus on metrics that actually move the bottom line . 

#sales #marketing #books

Be so deeply invested in your own growth
that you don’t have time to keep score.

Most people waste years doing the opposite.
Chasing validation. Watching what everyone else is doing.

Instead of showing up to learn and grow.

The breakthrough?
It’s simpler than you think.

Comparing yourself to others says:
→ Watch, judge, measure yourself against them

Investing in yourself says:
→ Focus inward, notice your own gaps, fill them

One blocks growth.
The other fuels it.

When you’re stuck comparing:
❌ You compete instead of connect
❌ You hide gaps instead of closing them
❌ You stop learning when ego takes over

The cost is:
Missed connection, collaboration, and growth.

Because the reality is:
People rally around effort, not image.
And the more time you spend watching other people’s grass,
the less you water your own.

Three hidden ways “focusing on others” hurts your career:

1/ You get defensive, not curious
↳ Every question feels like an attack

2/ You measure success by their standards, not your own
↳ Nothing you do feels like enough

3/ You build walls, not bridges
↳ Feedback feels like failure

The antidote? Flip to growth mode.

The energy you spend protecting your image
can become fuel for real improvement

Micro‑habits that shift you from comparing to investing:
↳ Ask “What can I learn from this?” instead of “Why are they better?”
↳ Name one gap out loud this week. Vulnerability breaks the armour.
↳ Follow people ahead of you to learn their blueprint, not to measure yourself.
↳ When you feel defensive, ask “What’s true here?” instead of defending.
↳ Share a recent failure. It signals growth, not weakness.

You are not the same as anyone else.
And you shouldn’t aim to be.

Focus on improvement, not comparison, 
and watch your world change.


📌 Save this for when you drift into "grass is greener" mode.
➕ Follow my friend Maryann (MJ) Jamieson who wrote this and inspires me every day.

A quote that says "be so busy watering your own grass that you don't have time to check if someone else'se is greener. from Maryann (MJ) Jamieson

Real talk: Your slides should take minutes, not hours.
This tool changed everything for me 👇🏾
Bad tools make you a designer.  
Good tools make you a strategist.


While you're tweaking fonts and aligning boxes...
Your competitors are shipping ideas that drive decisions.

Since switching to Dokie AI, 
I no longer get stuck in the weeds.
I start with an idea and let AI do the heavy lifting.

And now with interactive features, Dokie AI changes the game:

→ 3D models
→ Embedded polls
→ Live Q&A
→ Real-time audience engagement


 👉🏽 Try it out: https://lnkd.in/gYXW8M43

 🧠 What's the #1 slide task you wish AI could do for you?


 ♻️ Repost to help someone escape the grunt work and get back to strategy.

 #dokie #dokieai #presentations #productivity #futureofwork

She was brilliant but invisible.

Smart. Experienced.... The real deal. 
But, she was still the best kept secret in her field.

I recently spoke with a consultant specializing in AI governance for financial services firms. 

She wasn’t attracting decision-makers.
No CEOs, no CFOs, no Chief AI officers...
No steady inbound leads.
No clear authority positioning.

The harsh reality… is that LinkedIn has evolved.
Posting is not going to be enough.
Polished content without positioning does not convert.

She didn’t need more content.
She needed a clear Brand Authority strategy.

We’re now refining her positioning, and building sales, marketing, and content systems that turns visibility into executive-level conversations. 

AND LEADS!

If you’re a consultant or expert who wants to:
• Attract decision-makers
• Build inbound leads
• Become the go-to in your niche

It’s time your LinkedIn matched your expertise.

I’m hosting a Brand Authority Masterclass where I’ll break down what’s actually working right now.  


👉🏽 Sign-up now to the Masterclass at this link: https://luma.com/xyx53ude
👉🏽 Join the waitlist: https://lnkd.in/gSjNSxT5
♻️ Repost to help others accelerate their career with a strong personal brand.

 Bon Samedi.

a woman sitting in a chair giving a conference with a microphone at a conference. she wears a beige vest and a green dress. her name is katheline jean-pierre a brand authority career coach

Their behavior reflects them. Your response reflects you.

What most people miss in high pressure situations:
Their chaos isn't yours to carry. 
Their dysfunction isn't your data point.

Don't take it so personally. 😎

Their behavior = their pattern. 
Your response = your strategy.

See the facts over the feelings. 
See the situation  through clear eyes.
Make the decision. 
Then keep moving forward.

This is the difference between staying stuck and getting promoted.

To advance your career, you need:

- Systems for success. 
- Emotional self-discipline. t
- Frameworks to navigate the work matrix.

The top 5% accept their emotions, embrace them...
Then they get strategic, 🩷 
and create their action plan.

That's the masterclass.

♻️ Repost if you know someone who could use these simple resets.
🚀 Drop your story in the comments.

AI video agents are changing how teams upskill.

Not by “adding more training” but by reducing ramp time, and keeping skills current as roles change. And your competitors already know this…

Traditional training struggles with speed and consistency.
Work changes weekly. 
Skills decay fast. 

And enablement teams can’t update content forever.

Join us for a practical session: https://hubs.ly/Q043jFf10

AI for Upskilling: Building Workforce Capability with Video Agents

📅 Feb 19 · 5:00 pm CET / 4:00 pm UK / 11:00 am ET

We’ll cover:
•⁠ Where AI video agents beat traditional training (and where they don’t)
•⁠ What they can improve: time-to-competence, consistency, adaptability
•⁠ How to evaluate cost vs. value without betting on hype

Who it’s for
Anyone responsible for learning, enablement, or workforce readiness at scale.

Speakers
•⁠ Kevin Alster   — Strategic Advisor, Synthesia (Moderator)
•⁠ Craig Watson — VP of Product, Synthesia
•⁠ Dominic Holmes — Senior Principal, Value & Strategy (EMEA), Cornerstone

If ramp time and skills drift are on your 2026 agenda, this will be worth your time.

SIGN-UP HERE: https://hubs.ly/Q043jFf10

#ai #Agents #AiAgents #synthesiapartner

When the pressure hit, Lady Gaga didn’t clap from the sidelines.
She stepped in.

When she saw how much pressure Bad Bunny was under,
she didn’t offer empty encouragement.
She rolled up her sleeves.
She helped him win.


The lesson for us:

There’s a difference between people who cheer for you and people who step into the fire with you.

The first group applauds.
The second group acts.


Never forget who jumped in when it mattered.
Those are your real ones.


Are you surrounding yourself with bystanders…
or builders?

♻️ Repost to cheer the real ones, those who actually help you win.

The light you're hiding could change someone's trajectory. 
Yes, really. 
Even if you don't believe it. 

When you carry a gift,
when your story holds light,
and your path could help others find their own.

You have a responsibility.

Distill what you’ve learned.
And share it.

Even if it feels ordinary to you...
it could be life-changing for someone else.
Share your gift.
Share your voice.
Someone out there needs it.

Try it this week. 
Share one story and tell me what happens.

🔁 If this resonates, repost it to inspire someone else.
📣 Follow me, Katheline, to build your brand authority in your career.

Emma Watson just said what every ambitious woman needs to hear right now.

"I'm WILLING to move forward even when I feel alone. 
I'm WILLING to go to bed each night at peace with myself. 
I'm WILLING to be my biggest, bestest, most powerful self."

Notice:
she didn't say "I will when I'm ready."
Or "I will when they notice me..."
Or "I will once I have permission...."

Just willing... and that's the key...

This International Women's Month, your willingness is your superpower.

Your readiness to move forward... 
even scared, 
even alone, 
even without permission... 
that's what separates you from everyone still waiting for the "right time."

What are you willing to do today that you've been putting off?


♻️ repost to inspire another woman today. 
📣 Join the next masterclass to elevate your voice today: https://luma.com/xyx53ude

Most people wait to be ready.
True leaders solve problems no one owns yet.
To be more secure in their career… They👇🏽

1/ Own the room during a crisis
⤷ Step up, coordinate action, and communicate clearly when pressure is highest instead of waiting to be told what to do.

2/ Make the call with 70% of the data
 ⤷ Make informed calls without perfect information and move forward decisively.

3/ Turn “no” into a solution
⤷ Don’t accept blockers at face value;  find alternatives and present viable paths forward.

4/  Speak business impact, not just deliverables
⤷ Translate your work into revenue, risk reduction, growth, or strategic outcomes leaders care about.

5/ Credit others and own failures
⤷ Share wins generously and take responsibility when things go wrong, build deep trust.

6/ Ask the questions others avoid
⤷ Surface unclear expectations and challenge assumptions before they become costly problems.

7/ Lift as you climb
⤷ Actively mentor, sponsor, and create safety for others while advancing yourself.

💡 When there is a crisis, it often seems safer to hold back... Instead,
 top 5% leaders lean into the problem, 
walk in the fire and find a 'solve'. 

If this resonates, you’re closer than you think.

♻️ Repost to help someone stop waiting and start leading.
🔔 Follow me for career x leadership x AI insights from 15+ years in Fortune 100 Tech companies.

Big Tech Promotion Strategies to Get Ahead

So you think you have more time?

More time to stretch. 
To speak up. 
To leap.

Most ambitious women think so.
But in reality, 
They don’t.

They wait for things to calm down.
…But that never happens.

They wait to ship the next deliverable.
…But the next one always piles up.

So how do top-achieving women break out of the waiting rut?
👉🏾They trade comfort for the stretch zone.

That looks like:
– Taking on stretch projects
 – Sharing your POV early in meetings
 – Saying yes to the tough assignment
 – Leaping into new countries, roles, or careers

Here’s the Stretch Framework: 


15 Power Moves to Build Momentum in your career, quietly.

1. Make ‘someday’ today.
 → A baby step is still a step.

2. Prioritize impact, not comfort.
 → Comfort is an illusion. Careers are built on action.

3. Set weekly "stretch goals"
 → One action outside your comfort zone builds momentum.

4. Track wins in real time.
 → Keep a running list of your accomplishments and impact.

5. Speak up in the first 10 minutes.
 → Early contributions establish your voice. Don’t wait for “perfect.”

6. Take credit for your wins immediately.
 → Visibility delayed is visibility denied.

7. Build your personal brand now.
 → Share insights, speak at events, write. Your reputation is career insurance.

8. Find sponsors and invest in the relationship.
 → They’ll open doors when you’re not in the room.

Discover 7 other power moves in the graph below.

Pick one stretch move. 👇🏽
Do it this week.
Drop a 💥 below when you do.

________
♻️ Share to help someone navigate their life & career more effectively.

I Help Women in Tech 👩🏾‍💻 Become more secure in their career, Land 6-figure Promotions & Career pivots | Former Google & LinkedIn

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The Battle

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Katheline Jean-Pierre MSc

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