Kenji Hata is a computer vision and machine learning engineer with 12 years of experience building research-driven, production-ready perception systems across leading labs and tech companies. Currently a Member of the Technical Staff at OpenAI focused on multimodal research, he previously led tooling and frameworks at Google that made training, deploying, and using vision models accessible to non-experts. His background includes applied CV work for Amazon Go, AR research at Google Research, and academic research and teaching at Stanford and Princeton, reflecting deep ties between principled research and product engineering. Based in Mountain View, he blends hands-on model development with systems thinking, and is known for translating complex vision research into scalable developer-facing platforms.
12 years of coding experience
11 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Stanford University
The course notes for Stanford's CS231A course on computer vision
Contributions:51 commits, 29 PRs, 45 pushes in 4 months
notespythonstanfordvisiondeep-learning
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Kenji Hata - Member Of The Technical Staff at OpenAI