Hamel Husain’s Blog: Applied AI Engineering and Evals

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Machine learning engineer Hamel Husain shares technical essays and guides focused on AI evaluations, LLM tooling, and data science.

Key points

  1. Hamel Husain brings over 20 years of ML experience, with background at Airbnb, GitHub, and early LLM research used by OpenAI.
  2. The primary focus of his writing and teaching is AI evaluations ('evals')—helping teams debug, inspect, and benchmark AI systems.
  3. He co-teaches the course 'AI Evals for Engineers and PMs', training thousands of practitioners from companies like OpenAI, Anthropic, and Google.
  4. Blog topics range from automated evaluation frameworks and coding agents to RAG stability, LLM-as-a-judge, and fine-tuning.

Why it matters

Building dependable AI products requires rigorous measurement rather than guesswork. Husain provides concrete, real-world methodologies for diagnosing and evaluating LLM outputs in production.

Analysis

Husain addresses the core operational hurdle of modern AI engineering: observability and evaluation. By treating evals as an engineering discipline rather than an afterthought, his archive serves as an essential technical reference for teams deploying agents and complex LLM pipelines.

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Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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Locations

  • Mattersburg
    Johann Nepomuk Bergerstraße 7/2/14
    7210 Mattersburg, Austria
  • Vienna
    Ungargasse 64-66/3/404
    1030 Wien, Austria

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