Eugene Yan
Member Of Technical Staff at Anthropic
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolEugene Yan is a seasoned ML and recommender-systems leader with 12 years of experience building production AI at scale, currently a Member of Technical Staff at Anthropic after leading Principal Applied Scientist work at Amazon. He has designed and shipped centralized LLM infrastructure and guardrails for consumer-facing GenAI features, cut costs dramatically with retrieval, caching and fine-tuning pipelines, and accelerated multi-year roadmaps into production in months. His background spans enterprise and startup settings—from scaling recommendation and search systems across Southeast Asia at Alibaba/Lazada to shipping healthcare and hospital-billing ML pipelines with high uptime and dramatic model improvements. Eugene blends hands-on systems engineering (8k+ qps real-time retrieval, p99 <25ms) with product and executive advising, and he’s built tooling and labeling workflows to improve precision, recall, and coverage for LLMs. He also runs Aiterate Labs and writes about applied ML, signaling a consistent side practice of distilling practitioner-facing guidance and evaluation tooling. Based in Seattle, he pairs technical depth with a rare mix of product judgment and operational rigor.
12 years of coding experience
15 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Georgia Institute of TechnologyBachelor of Social Science (B.Soc.Sci.) Psychology and Organizational Behavior & HR, Bachelor of Social Science (B.Soc.Sci.) Psychology and Organizational Behavior & HR at Singapore Management University
java, shell, sql, scala, python, Chinese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (138)
python10
coverage10
deep-learning10
openai-api10
chatgpt10
data-engineering10
validation10
papermill10
api10
recommender-system10
computer-vision10
recommender10
nlp10
science10
gatsby10
Programming languages (7)
Github contributions (5)
eugeneyan/poc-docker-template
Jul 2020 - Aug 2022
Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.
Contributions:4 commits, 2 PRs, 4 pushes in 2 years 1 month
simple-templatepythonsciencedata-sciencejupyter-notebook
eugeneyan/applied-ml
Jul 2020 - Dec 2022
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Contributions:6 reviews, 349 commits, 360 PRs in 2 years 6 months
pythonin-productionsharingnatural-language-processingproduction
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