World Bicycle Relief

World Bicycle Relief mobilises communities in rural regions around the world to thrive with life-changing bicycles. World Bicycle Relief has a goal to reach 1 million bicycles and empower 5 million people 🚲

Advisory Board Member

Various Companies & Startups

I work with forward thinking Founders & CEOs to build & scale their revenue and AI-Led GTM engines.      I am a GTM Advisor, Board Member, Angel Investor, & Mentor to many companies, organisations, & people helping them: scale revenue, increase brand awareness, and architect GTM strategies 🚀🚀🚀

I take an active role in highlighting women in leadership. 

𝐁𝐨𝐚𝐫𝐝 𝐌𝐞𝐦𝐛𝐞𝐫, 𝐀𝐧𝐠𝐞𝐥 𝐈𝐧𝐯𝐞𝐬𝐭𝐨𝐫, & 𝐆𝐓𝐌 𝐀𝐝𝐯𝐢𝐬𝐨𝐫
➡️ 𝐖𝐨𝐫𝐥𝐝 𝐁𝐢𝐜𝐲𝐜𝐥𝐞 𝐑𝐞𝐥𝐢𝐞𝐟 : 𝐀𝐝𝐯𝐢𝐬𝐨𝐫𝐲 𝐁𝐨𝐚𝐫𝐝 𝐌𝐞𝐦𝐛𝐞𝐫 : Using Mobility to Improve lives around the world
➡️ 𝐅𝐨𝐫𝐛𝐞𝐬: 𝐓𝐡𝐨𝐮𝐠𝐡𝐭 𝐋𝐞𝐚𝐝𝐞𝐫 & 𝐂𝐨𝐧𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐧𝐠 𝐖𝐫𝐢𝐭𝐞𝐫 on all things Marketing, AI, Digital Revenue, & Leadership
➡️  𝐓𝐡𝐞 𝐎𝐩𝐞𝐫𝐚𝐭𝐨𝐫 𝐀𝐧𝐠𝐞𝐥 𝐂𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐯𝐞: A group of Angel Investors made of former scale-up operators that discuss deals and strengthen the community of angel investment knowledge
➡️ 𝐂𝐨𝐝𝐞𝐫𝐬 𝐁𝐞𝐲𝐨𝐧𝐝 𝐁𝐨𝐫𝐝𝐞𝐫𝐬: 𝐀𝐝𝐯𝐢𝐬𝐨𝐫𝐲 𝐁𝐨𝐚𝐫𝐝 𝐌𝐞𝐦𝐛𝐞𝐫: Helping migrants to the EU get started with their careers in tech 
➡️ 𝐍𝐞𝐱𝐮𝐬: 𝐀𝐝𝐯𝐢𝐬𝐨𝐫: Advisor for Nexus, an all in one FemTech/ Health App 
➡️ 𝐓𝐡𝐞 𝐂𝐌𝐎 𝐀𝐥𝐥𝐢𝐚𝐧𝐜𝐞: Thought Leader, Writer, and Advocate of Marketing Leaders around the world. 
➡️ 𝐓𝐡𝐞 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐑𝐞𝐯𝐞𝐧𝐮𝐞 𝐀𝐥𝐥𝐢𝐚𝐧𝐜𝐞: Thought leadership for Revenue Marketing and scaling digital revenue 
➡️ 𝐒𝐚𝐧𝐟𝐨𝐫𝐝 𝐑𝐨𝐲𝐜𝐞: Advisory Board Member

𝐀𝐝𝐯𝐢𝐬𝐨𝐫𝐲 & 𝐌𝐞𝐧𝐭𝐨𝐫𝐬𝐡𝐢𝐩
➡️ 𝐓𝐡𝐞 𝐅𝐞𝐦𝐚𝐥𝐞 𝐅𝐚𝐜𝐭𝐨𝐫: 𝐀𝐝𝐯𝐢𝐬𝐨𝐫 & 𝐌𝐞𝐧𝐭𝐨𝐫 : Focusing on the advancement of women in leadership 
➡️ 𝐅𝐞𝐦𝐦𝐞 𝐏𝐚𝐥𝐞𝐭𝐭𝐞: 𝐀𝐝𝐯𝐢𝐬𝐨𝐫 & 𝐌𝐞𝐧𝐭𝐨𝐫: Focused on leadership skills for women and advancing women in leadership roles 
➡️ 𝐖𝐨𝐦𝐞𝐧 𝐨𝐟 𝐒𝐚𝐚𝐒: Member and Advocate- Highlighting Women in SaaS and topics in SaaS leadership 
➡️ 𝐅𝐞𝐦𝐦𝐞 𝐏𝐚𝐥𝐞𝐭𝐭𝐞: Advisor & Mentor: Advancing women in leadership through mentoring and functional advisory

GTM Advisor, Board Member, & Angel Investor

Coders Beyond Borders

Coders Beyond Borders is a tech community founded with the purpose of empowering newcomers across Europe with essential tech skills and facilitating their integration into the tech industry.

Resourcify

- Raised €14M Euro Series A with 75 FTEs
Leading all Commercial Teams including: Marketing, Revenue ( Pre-sales, Sales, & After-Sales), Revenue Operations ( Rev-Ops), & Customer Success/ Account Management in addition to the largest Business Unit representing 40% of all Headcount

Resourcify is on a mission to enable a zero-waste future and promote a circular economy! ♻️♻️♻️ 
Dubbed the ‘Reverse Amazon’ by Forbes, Resourcify is creating a zero waste future and promoting a circular economy where materials are recycled and reused. The platform is already used by leading enterprises in Europe, including McDonald’s and Johnson & Johnson, in addition to some of the largest companies in Resourcify’s home market of Germany, including Hornbach, REWE, and Frankfurt Airport.

Chief Commercial Officer (CCO) | Commercial Leader & Revenue Leader

Latana Brand Tracking

During my tenure we achieved a €36M Series B funding round
• Scaled the company from 30 FTEs to over 100+ FTEs
As the Chief Growth Officer ( CGO) & Chief Marketing Officer ( CMO) I lead all Commercial Teams including: Marketing, Pre-Sales, Sales, & Customer Success representing over 50%+ of all headcount 
• Created an inbound demand generation/customer acquisition engine which has accounted for more than 80%+ of total Revenue (ARR/MRR) for the past 3 years. 
• Achieved a 130%+ Net Revenue Retention (NRR).

B2B Mar-Tech: Latana is an AI-Powered B2B SaaS brand tracking and consumer insights platform which helps brands make better marketing decisions through market research data. Latana uses an advanced algorithm to accurately track consumer perception across more than 100 countries and 1000's of target audiences worldwide. 

Latana is the proud winner of several market research, technology, and data awards. It has been named the “6th Fastest Growing Startup in Germany” and the “Most Innovative Market Research Startup in Europe.” Since its inception, Latana has generated over a billion answers from people in more than 100 countries. The resulting data is cited in over 2.000 news articles globally, including The Economist, Le Monde, The Guardian, South China Morning Post, El Pais, The Financial Times, Vice Magazine, The Washington Post, Der Spiegel, & Business Insider.

Chief Growth Officer (CGO) & Chief Marketing Officer (CMO)| Commercial Officer

Crimson Education

Crimson is one of the top Unicorns from NZ/AU with a $1Billion+ Valuation & 1000+ FTEs. 
 • SLT ( Senior Leadership Team) Member driving acquisition and growth strategy for international markets
• Digital Revenue Leadership for 20+ markets & 5+ product lines achieving 110%+ YoY growth targets
• Leadership of Global Marketing & Digital teams
The company has Larry Summers (former US Treasury Secretary and Former President of Harvard University) on its advisory team.

Vice President Marketing ( VP Marketing) | Digital Growth | Revenue Growth 

GoDaddy

Achieved IPO & is now a $1Billion+ Revenue & 5,000+ FTEs
• Led Revenue Marketing, & Product Discovery Strategy to Executive Team & Board driving 13 Million Subscribers and $500 Million in Revenue 
• Developed 2 Patents on Revenue Optimisation in E-commerce environments
• Spearhead the launch of the Website Building Product to reposition the GTM of the company
• Cross Functional Leadership of Marketing, Sales, Product, CX, & User Experience

B2B SaaS & E-Commerce company focused on services for small business (SMBs) across the world. GoDaddy is the world’s largest domain registrar, the world’s largest web host, and a leader in B2B SaaS website building.

E-Commerce Revenue Growth & SaaS GTM Leadership | International Expansion

The Poverty Museum

As a special initiative of Professor Muhammad Yunus, I had the honour of working with the founding members of the Poverty Museum connecting businesses and organisations to help move forward one of the most pressing social issues of our time: poverty eradication. Based upon his Nobel Prize winning work, the goal of the Poverty Museum is to weave a fabric of solutions, stories, players, and pathways that will bind us together as we pursue the end of poverty!

Co-Founder & Chief Marketing Officer (CMO)- a Grameen Social Business 

Intuit

** Taking Quickbooks Accounting Software from a physical product to a fully functional Digital SaaS Platform
• Led GTM for the launch of Quickbooks ( converting a physical product into a SaaS platform)
• Drove Acquisition to over 1 Million New subscribers
 Intuit is a 130B+, 14,000 FTEs+, B2B SaaS software company focused on accounting, payroll, payment, and invoicing. Intuit is the market leader in North America. Intuit's flagship products are: Quickbooks, TurboTax, CreditKarma, and MailChimp.
• Cross Functional leadership between Marketing, Sales, Business Development, Product & Product Marketing
• Led insights to Executive Committee for International Expansion

Global Product Discovery, Marketing, & Strategic Partnerships | GTM

Amazon

• Led all Marketing and GTM for 68 Export Markets for Amazon's International Expansion 
• Drove Revenue to $1 Billion USD from scratch
Amazon is a $1T Revenue +, 1M FTEs+, E-commerce company and the world's largest online retailer. Amazon accounts for over 40% + of all US online retail sales and over 13% + of the world's online retail sales. Amazon strives to be  “Earth’s most customer-centric company.”
• Cross functional team leadership between Marketing, Product, &  Supply Chain
• Became a Bar Raiser for Amazon :https://www.aboutamazon.eu/news/working-at-amazon/what-is-a-bar-raiser-at-amazon

International Expansion Strategy & Cross Border Trade | Revenue Growth

🚀 I scale both B2B SaaS & D2C Tech Companies | CMO, CCO, & CRO | Keynote Speaker | GTM & AI Growth Engines

I am a GTM executive building global brand and revenue strategies across B2B SaaS, D2C tech, and investor-backed scale‑ups. I have a track record of architecting and leading revenue-generating engines for some of the world's most successful technology brands, including Amazon, Intuit, and GoDaddy. I have also scaled 3X start-ups including 1 unicorn 🦄.  I advise Founders, CEOs, & Investors on GTM & Growth Engines enabling them to build their Go-to-market strategies and scale their companies. 

My experience focuses on: Digital Revenue Growth, AI Marketing, Brand, AI GTM, AI Demand Generation, Sales, & International Expansion in both technology scale-ups & larger corporations. I was recognised by Crunchbase, along with other prominent technology leaders, as one of the most influential women in sales, highlighting my ability to use an inbound demand generation engine to scale digital revenue growth. I have a passion for Brand Awareness & Content to drive revenue and have been featured in Forbes, VentureBeat, The Drum, and other leading media and publications. I am also a frequent keynote speaker and podcaster with communities including: SaaStock, Turing Fest, SaaSiest, ARRtist, SheCanCode, CMO Alliance, Cognism, and many others. 

I am passionate about scaling purpose- driven tech, using technology to give back to the community and mentoring the next generation of leaders. I hold multiple board and advisory roles including: World Bicycle Relief, The Female Factor, Coders Beyond Borders, and The Revenue Marketing Alliance among many others. I have a special interest for advancing the conversation around women in leadership and diversity at the executive level.

✅ Follow me for actionable insights on: 

➡️ GTM & AI Growth Strategy in both B2B SaaS & D2C
➡️ Commercial Leadership & Revenue Scaling
➡️ Marketing & Brand Positioning
➡️ AI in Marketing & Content Engines 
➡️ Women in Leadership & Women in Tech

Angeley Mullins

A small gesture with big impact ❤️ Last week the incredible team at Mango Partners surprised me with flowers…not just as a gift, but as a symbol of belief. Belief in entrepreneurship... belief in my vision to empower Founders and CEOs with industry defining GTM strategies, help them scale revenue, and support them in fundraising investment. Belief in the dreams that I am helping founders bring to life. 🚀 

At Aetheris Ventures, I am on a mission to transform how founders approach their go-to-market strategies, to enhance how they lead, and to secure the funding that turns ideas into impact & purpose. The path is not linear, but it's meaningful. When you find people in your life and in your network who see you championing your dreams, hold onto them. Those are your people. Those are the relationships and partnerships that matter.

To every #founder out there: surround yourself with people who celebrate your wins, honours your journey, and believes in your vision... and when you see someone chasing their dreams? Be their “flowers”.  Be their reminder that what they're building matters. 🌹 

Thank you Sophie Ludwig, Henri Nölle, Fabian Mars, and the team at Mango Partners for this small gesture with so much heart ❤️ 

A shout out to all the amazing founders across so many countries who are chasing their dreams while also inspiring others to achieve theirs: w/ Ekaterina Parashina, Ale Wiecek Rojo, Heiko Burdack, Steven Lewandowski, Angela Scott, Katharina Lindner, Macklin Buckler, Fernanda Bosmediano, Daniel Wong-Sauer, Cristian Dina, Daniel Deaconu, Anais Cisneros, Cassie Yusofi, Leslie Greenwood, Franziska Heyde, Rahma Hassan, Vera Matisovits, Marijana Gligoric, Bianca Praetorius, Mayuri Reddy, Ishaan Pulast, Adriana Richter, Hale Doganci PCC, Kunal Dhabhai, Magdolin Harmina, Michaela Munitzk, Adriana Carmona Beltran, Ömer Yetimoglu, Sina Landorff, Andrea Brandt, Vessela Krissel, Dr. Nora Timme, Sarah Anto, MBA, CPA, Leonie Moos, Neha Agarwal, and so many others!!! 

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 
👋 Hi, I'm Angeley! I work with Founders & CEOs to build & scale their AI Marketing and Revenue Engines. I am also a public speaker and love inspiring audiences around the world about the future of technology and women in leadership
🔗 You can learn more about me here: https://lnkd.in/dpq3Y-GV

My missions
→ Lead & ship production-grade AI/ML systems - including AI Agents & RAG that actually move business metrics.
→ Educate AI/ML practitioners on how real-world production AI/ML systems are designed, deployed, and maintained (the parts most people skip).

My portfolio
→ Senior Data Scientist / AI Engineer (8+ years)
→ Built an AI Agent–powered FAQ chatbot (LangChain/LangGraph, AWS) used by thousands; significantly reduced customer support load.
→ Built end-to-end RAG: ingestion, semantic/recursive chunking, retrieval strategies, GDPR-first data flows
→ Built CLV forecasting, recommendation systems, marketing optimization, and scalable MLOps systems with significant business impact

My newsletter
→ JAM with AI - read by 26,000+ AI/ML builders
→ jamwithai.substack.com

Work with me
→ Collaborations, talks, and mentoring.

Shirin Khosravi Jam

I'm a Data Scientist and self-taught RAG & AI agents 
Shipping in production 12+ months... 

Most roadmaps miss what actually breaks in production
I learned this the hard way...

This is from actual production experience...
let's share and help as many as people. 😇 

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🚨 𝗕𝗲𝗳𝗼𝗿𝗲 𝘆𝗼𝘂 𝘀𝘁𝗮𝗿𝘁:
I built a complete production grade RAG course 
learning from these production battles.
→ Real AI system architecture (not tutorials) 

🔗 Course link: https://lnkd.in/dzdsTWz9 

Start with the course and use below resources to learn further.
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⏩ 𝗣𝘆𝘁𝗵𝗼𝗻 𝘀𝗸𝗶𝗹𝗹𝘀
✅ 𝗙𝗮𝘀𝘁𝗔𝗣𝗜 
– Build lightweight, production-ready APIs in no time
🔗 Video1: https://lnkd.in/dpADd3gh
🔗 Video2: https://lnkd.in/dcRmk2sk

✅ 𝗔𝘀𝘆𝗻𝗰 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 
– Speed up agents by handling multiple tasks asynchronously
🔗 Video: https://lnkd.in/dQDtam6S

✅ 𝗣𝘆𝗱𝗮𝗻𝘁𝗶𝗰 
– Data validation and settings management that keeps your agent robust and reliable
🔗 Video: https://lnkd.in/dArUdWKT

✅ 𝗟𝗼𝗴𝗴𝗶𝗻𝗴 
– Debugging agents without good logs? Nearly impossible.
🔗 Video: https://lnkd.in/dYP3tWAk

✅ 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 
– Unit and integration tests will save you when agents become complex.
🔗 Unit test: https://lnkd.in/d-sYNxxz
🔗 Integration test: https://lnkd.in/d6waJuGp

✅ 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 (SQLAlchemy + Alembic) 
– Essential for RAG and storing agent memories
🔗 Video: https://lnkd.in/dj9UsCjd

⏩ 𝗥𝗔𝗚 𝘀𝗸𝗶𝗹𝗹𝘀
✅ 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗥𝗔𝗚 
– Learn what RAG is and why it matters
🔗 Video - https://lnkd.in/dGUijEMw

✅ 𝗧𝗲𝘅𝘁 𝗘𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴𝘀 
– Foundation of search and retrieval in RAG systems
🔗 Video - https://lnkd.in/dtG7m-mv

✅ 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 
– Store and retrieve embeddings efficiently
🔗 Video - https://lnkd.in/dqbrK3d7

✅ 𝗖𝗵𝘂𝗻𝗸𝗶𝗻𝗴 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 
– Split data smartly for better retrieval quality
🔗 Video - https://lnkd.in/dVRPRVfN

✅ 𝗥𝗔𝗚 𝘄𝗶𝘁𝗵 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟
– RAG without expensive vector DBs? Yes, possible.
🔗 Video - https://lnkd.in/dDm7miwh

✅ 𝗥𝗔𝗚 𝘄𝗶𝘁𝗵 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻 
– Chain together retrieval, LLMs, and prompts easily
🔗 Video - https://lnkd.in/d3PuPKbF

✅ 𝗥𝗔𝗚 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻𝘀 
– Know if your retrieval and answers are actually good
🔗 Video - https://lnkd.in/dn-NDF_U 

✅ 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗥𝗔𝗚 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 
– Fine-tune your RAG system for real-world performance
🔗 Video - https://lnkd.in/dcXwX5Pp 

⏩ 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸
✅ 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵 
– This one is mainly used in organisations to build production ready AI Agents.
🔗 Video - https://lnkd.in/due46xmV

✅ 𝗣𝗿𝗼𝗺𝗽𝘁 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗴𝘂𝗶𝗱𝗲 
– It's also good to follow specific guides from the LLM providers.
🔗 Link - https://lnkd.in/dAMk64iC 

✅ Langfuse (YC W23) 
– Definitely getting more popular now!
🔗 Video - https://lnkd.in/dQbpvSVv

--
♻️ Repost if you found it helpful 💚 
➕Join 31.000+ AI/ML builders here: https://lnkd.in/ds_SzEUH

Sr. Data Scientist/ AI Engineer | Data Science, RAG, AI Agents, & MLOps | Germany’s Top Female Voice in AI 🇩🇪

89.999+ academic papers exists
9 papers that shaped modern AI
every AI/ML engineer should read them 👇

Most developers jump straight into LLMs without understanding the foundational breakthroughs.

Here's your reading roadmap ↓

1️⃣ 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐄𝐬𝐭𝐢𝐦𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐖𝐨𝐫𝐝 𝐑𝐞𝐩𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝐕𝐞𝐜𝐭𝐨𝐫 𝐒𝐩𝐚𝐜𝐞 (𝟐𝟎𝟏𝟑)
Where it all began.
Introduced word2vec and semantic word understanding.
→ Made "king - man + woman = queen" math possible
→ 70K+ citations, still used everywhere today
🔗 https://lnkd.in/dF4KBQWW

2️⃣ 𝐀𝐭𝐭𝐞𝐧𝐭𝐢𝐨𝐧 𝐈𝐬 𝐀𝐥𝐥 𝐘𝐨𝐮 𝐍𝐞𝐞𝐝 (𝟐𝟎𝟏𝟕)
Killed RNNs. Created the Transformer architecture.
→ Every major LLM uses this foundation
🔗 https://lnkd.in/d6trTxgs

3️⃣ 𝐁𝐄𝐑𝐓 (𝟐𝟎𝟏𝟖)
Stepping stone on Transformer architecture. Introduced bidirectional pretraining for deep language understanding.
→ Looks left AND right to understand meaning
🔗 https://lnkd.in/dv8YE43j

4️⃣ 𝐆𝐏𝐓 (𝟐𝟎𝟏𝟖)
Unsupervised pretraining + supervised fine-tuning.
→ Started the entire GPT revolution
🔗 https://lnkd.in/dkadsJXk

5️⃣ 𝐂𝐡𝐚𝐢𝐧-𝐨𝐟-𝐓𝐡𝐨𝐮𝐠𝐡𝐭 𝐏𝐫𝐨𝐦𝐩𝐭𝐢𝐧𝐠 (𝟐𝟎𝟐𝟐)
"Think step by step" = 3x better reasoning
🔗 https://lnkd.in/dCNJwTrD

6️⃣ 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐋𝐚𝐰𝐬 𝐟𝐨𝐫 𝐍𝐞𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 (𝟐𝟎𝟐𝟎)
Math behind "bigger = better"
→ Predictable power laws guide AI investment
🔗 https://lnkd.in/dfnniFVB

7️⃣ 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐭𝐨 𝐒𝐮𝐦𝐦𝐚𝐫𝐢𝐳𝐞 𝐰𝐢𝐭𝐡 𝐇𝐮𝐦𝐚𝐧 𝐅𝐞𝐞𝐝𝐛𝐚𝐜𝐤 (𝟐𝟎𝟐𝟎)
Introduced RLHF - the secret behind ChatGPT's helpfulness
🔗 https://lnkd.in/dwkWVrUP

8️⃣ 𝐋𝐨𝐑𝐀 (𝟐𝟎𝟐𝟏)
Fine-tune 175B models by training 0.01% of weights
→ Made LLM customization affordable for everyone
🔗 https://lnkd.in/dQ4KKwXU

9️⃣ 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥-𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 (𝟐𝟎𝟐𝟎)
Original RAG paper - combines retrieval with generation
→ Foundation of every knowledge-grounded AI system
🔗 https://lnkd.in/dWhkp3jG

Which of these papers have you read?
Any other paper you want to add to this list?

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12 repos ML/AI Engineer should definitely know
(Covering ML, RAG, PyTorch, MLOps, Agents)
Bookmark them! 👇 

1️⃣ 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀 𝗯𝘆 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁
→ Start here if you’re brand new to ML.
Covers basic ML concepts in Jupyter notebooks beginner-friendly and visual.
🔗 https://lnkd.in/gGithBVP

2️⃣ 𝗟𝗲𝗮𝗿𝗻 𝗣𝘆𝗧𝗼𝗿𝗰𝗵 𝗳𝗼𝗿 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
→ A great repo to learn PyTorch - could be a bit outdated but the concepts still applies.
🔗 https://lnkd.in/d4ptSuUY

3️⃣ 𝗛𝗮𝗻𝗱𝘀-𝗼𝗻 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀
→ This repo supports the Hands-On LLM book.
Learn everything from basic language models to finetuning with real notebooks.
🔗 https://lnkd.in/gpvPemeG

4️⃣ 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗳𝗼𝗿 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀
→ A fantastic beginner-friendly course to get started with AI agents.
Free 11-lesson hands-on curriculum - no fluff, just code.
🔗 https://lnkd.in/gVm5gmv7

5️⃣ 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗚𝘂𝗶𝗱𝗲
→ One-stop-shop for prompt engineering.
Guides, papers, lectures, and tons of curated examples.
🔗 https://lnkd.in/gDt3Sknr

6️⃣ 𝗟𝗟𝗠 𝗖𝗼𝘂𝗿𝘀𝗲
→ Hands-on course covering the entire LLM lifecycle — design to deployment.
Includes roadmaps + Colab notebooks.
🔗 https://lnkd.in/gUPJmWNM

6️⃣ 𝗚𝗲𝗻𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀
→ Great tutorials + code for building agent-based LLM systems.
Covers everything from simple tool-using agents to advanced workflows.
🔗 https://lnkd.in/gaiZgzpA

7️⃣ 𝗥𝗔𝗚 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀
→ One of the most comprehensive and dynamic collections of Retrieval-Augmented Generation (RAG) tutorials available
🔗 https://lnkd.in/dcGtjFgY

8️⃣ 𝗔𝗴𝗲𝗻𝘁𝘀 𝘁𝗼𝘄𝗮𝗿𝗱𝘀 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻
→ It is your hands-on guide to every building block of a GenAI agent stack.
🔗 https://lnkd.in/dnnkrJbE

9️⃣ 𝗔𝘄𝗲𝘀𝗼𝗺𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜
→ Massive curated list of GenAI tools, papers, interviews, repos, and more. Use it as your personal R&D knowledge base.
🔗 https://lnkd.in/gsTk5nXx

🔟 𝗠𝗮𝗱𝗲 𝗪𝗶𝘁𝗵 𝗠𝗟
→ Covers full ML product lifecycle: from design to CI/CD and monitoring. If you’re serious about building production-grade ML systems, this is gold.
🔗 https://lnkd.in/gn2RhT_m

1️⃣1️⃣ 𝗗𝗲𝘀𝗶𝗴𝗻𝗶𝗻𝗴 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀
→ Summaries + code + diagrams from the popular O’Reilly book.
A must-read if you want to architect real-world ML pipelines.
🔗 https://lnkd.in/g26KNXfb

1️⃣2️⃣ 𝗝𝗮𝗺 𝘄𝗶𝘁𝗵 𝗔𝗜 (𝗕𝗼𝗻𝘂𝘀)
→ Your goto repo for hands-on guides
A must check out repo for production RAG Systems, AI Agents, MLOps and much more
🔗 https://lnkd.in/dr4g3jcC

What else would you add here?
Comment below 👇 

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If you're learning Agentic RAG while building.

Learn this way 👇 
(also check the video)

I cloned my Arxiv Agentic RAG project 
→ into PyCharm with the Qoder plugin and...
→ walked through the entire system with AI assistance.

Here's the 3-step process:

1️⃣ 𝗖𝗹𝗼𝗻𝗲 𝘁𝗵𝗲 𝗔𝗿𝘅𝗶𝘃 𝗣𝗮𝗽𝗲𝗿 𝗖𝘂𝗿𝗮𝘁𝗼𝗿 (𝗪𝗲𝗲𝗸 𝟳)
→ Real production Agentic RAG code
→ Not toy examples, actual production working system
→ Perfect for hands-on learning

2️⃣ 𝗔𝘀𝗸 𝘁𝗵𝗲 𝗔𝗴𝗲𝗻𝘁: "𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗹𝗼𝗼𝗸?"
→ Gets full architectural breakdown
→ Understands how components connect
→ No more guessing what the code does

3️⃣ 𝗟𝗲𝘁 𝗶𝘁 𝗪𝗿𝗶𝘁𝗲 𝗧𝗲𝘀𝘁𝘀 𝗳𝗼𝗿 𝗬𝗼𝘂
→ Ask: "Generate tests for this Agentic RAG class"
→ Context-aware test generation
→ Actually fits your implementation

𝗕𝗲𝘀𝘁 𝗽𝗮𝗿𝘁?
The agent maintains context across all 3 steps.
No re-explaining your codebase.

Testing it on my Agentic RAG system.
This is how I'd learn any new codebase now.

I really think AI coding assistants should be used for learning 
You can really get started today!
($2 for your first month, later $10 per month)

Checkout Qoder here - 
https://aisecret.co/Shirin

Anyone else learning RAG by building?
What's your approach?

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Sr. Data Scientist/ AI Engineer | Data Science, RAG, AI Agents, & MLOps | Germany’s Top Female Voice in AI (Favicon) 🇩🇪

Everyone's running towards AI Engineering.

Meanwhile, I feel Data Science roles are a big miss.

All the traditional problems still need solving:
→ Regression
→ Classification  
→ Time Series
→ Demand Forecasting, etc
Across different domains - Marketing, Customer Analytics, etc.

Data Science is not prompt engineering or calling a LLM API.

It's about:
→ Understanding the domain and business problem deeply
→ Cleaning, wrangling, interpreting raw data
→ Asking the right questions before modeling
→ Building groundtruth & robust statistical foundations
→ Designing experiments, not just tuning parameters
→ Translating insights into business impact
→ Making the models explainable to support business, etc.

I understand that now Data Scientists need to move beyond notebooks. 
You will definitely not regret learning and building e2e ML projects.

Working on both side, I can definitely say:
There is a lot of work to be done on both sides!

Both paths lead to great careers.
Build depth, not just breadth.

Pick the domain that excites you.
Don't just go with the Hype.

True Data Science is here to stay!
Do you agree?

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