Chip Huyen is a writer and computer scientist who works at the intersection of machine learning research and production systems. She is a co-founder of a streaming-first platform for real-time machine learning and has previously built machine learning tools at NVIDIA, Snorkel AI, Netflix, and Primer.

Chip graduated from Stanford University, where she teaches CS 329S: Machine Learning Systems Design. She is the author of Designing Machine Learning Systems (O’Reilly, 2022), a widely used guide to building ML systems that work reliably in production, and her writing on MLOps and data science infrastructure is read by practitioners around the world. LinkedIn has included her among its Top Voices in Software Development (2019) and Top Voices in Data Science and AI (2020).

Growing up in a small rice-farming village in Vietnam, Chip took an unconventional path into technology. After high school, a three-day vacation turned into a three-year trip through Asia, Africa, and South America, where she worked as a Bollywood extra, a casino hostess, and a street performer. She brings that same curiosity and storytelling to her work in machine learning.