eugeneyan - Overview

eugeneyan - Overview

👋 Hi, I'm Eugene Yan

I build recommendation systems and AI-powered experiences that serve customers at scale. Currently, I'm a Principal Applied Scientist at Amazon. Outside of work, I also...

Write, speak, and prototype on ideas in machine learning, RecSys, and LLMs.
Teach how to apply ML/LLMs effectively at ApplyingML.com & Applied-LLMs.org.
Send a newsletter about data, ML, and what I'm learning to 10,000+ subscribers.
In 2025 I'm learning: RecSys × LLMs, semantic IDs, long-context Q&A, and agents.
Fun fact: I don't use the QWERTY keyboard (I use Dvorak instead).

📝 Recent Writing

2025 Year in Review - Sun, 14 Dec 2025
Product Evals in Three Simple Steps - Sun, 23 Nov 2025
Advice for New Principal Tech ICs (i.e., Notes to Myself) - Sun, 19 Oct 2025
Training an LLM-RecSys Hybrid for Steerable Recs with Semantic IDs - Sun, 14 Sep 2025
Evaluating Long-Context Question & Answer Systems - Sun, 22 Jun 2025

View the archives (209 posts) @ eugeneyan.com.

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📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

28.8k 3.8k
📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)

689 118
🤖 A prototype assistant for writing and thinking

Python 559 39
📰 Building News Agents to Summarize News with MCP, Q, and tmux

Python 316 35
🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.

Python 266 58
Semantic IDs: How to train an LLM-Recommender Hybrid with steerability and reasoning on recommendations.

Jupyter Notebook 115 28