Chip Huyen

Activities

historical

Chip Huyen grew up in a small rice-farming village in Vietnam. Despite limited early access to English and formal resources, she pursued higher education and became a notable figure in machine learning systems and AI engineering. She attended Stanford University and later taught there, turning course material into her first widely-read book.

Her early professional roles included work on ML frameworks and tooling. She was a core developer on NVIDIA’s NeMo (a generative AI framework) and worked in AI research and engineering roles at companies such as Netflix. She founded and later sold an AI infrastructure startup, and co-founded Claypot AI, a platform for real-time ML. Her industry experience spans startups and major tech firms, giving her a practical, systems-oriented perspective on ML in production.

present

As of 2025, Chip Huyen is an active writer, teacher, and entrepreneur in AI engineering. She authored two major books: “Designing Machine Learning Systems” (O’Reilly, 2022) and “AI Engineering” (O’Reilly, 2025). The latter became one of the most-read books on the O’Reilly platform shortly after release.

She continues to publish technical essays and tutorials on her website and GitHub, speaks at conferences, and advises startups. She has been involved with projects and companies including Snorkel AI and Voltron Data, and remains engaged in ML tooling and infrastructure work.

Connections to other people and companies

Chip’s network includes engineers and researchers at NVIDIA, Netflix, Snorkel AI, Claypot AI, Voltron Data, and other AI startups. She collaborates with the broader ML community through teaching, open-source contributions, and conference talks.

Expectations for the future

Chip is likely to keep focusing on practical AI engineering: improving ML system design patterns, tooling, and education. Her move into fiction writing (a debut novel with early Kindle release in 2025) indicates a broader interest in storytelling and broader public-facing work that intersects with AI.

Interests

Her interests include ML systems design, developer experience for ML teams, startup building, mentorship, and writing (both technical and creative). She emphasizes data quality, system design, and developer workflows in public talks and writing.

Sources

• https://chiphuyen.com/
• “Designing Machine Learning Systems” (O’Reilly, 2022)
• “AI Engineering” (O’Reilly, 2025)
• Interviews and profiles (Lenny’s Newsletter, ACM talks, various blog interviews)