Eugene Yan
Applied Scientist, Amazon | Enterprise RAG & Recommendation Architect
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Eugene Yan is an Applied Scientist at Amazon working at the intersection of machine learning systems, recommendation algorithms, and production LLM applications. His technical publications on RAG patterns, offline evaluation, and LLM design patterns are among the most cited practitioner resources in the industry.
Areas of focus
Professional niches
THE WORK BEHIND THE PROFILE
Proof of Work
explanationChecked Sep 20, 2026
Patterns for Building LLM-based Systems & Products
Comprehensive reference manual documenting production patterns for evaluation, guardrails, retrieval-augmented generation, and fine-tuning with cost/latency trade-offs.
Scope & limitations
System design patterns; individual implementations must be profiled for specific latency constraints.
Context: Python, vector indexes, cross-encoders, and LLM evaluation frameworks.
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