Hee Ryu is a Staff Software Engineer and machine learning researcher with 14 years of experience building production ML systems and shipping large-scale product features across Google and Meta. She led ML initiatives for YouTube AutoDubbing, Search, and Assistant, bridging research and productization while managing engineering teams and cross-functional programs that delivered measurable business impact. Her research on ML fairness (InclusiveFaceNet) and inventive demos like the NIPS‑presented “Electronic Screen Protector” have attracted broad media attention and reflect a practical focus on equitable AI. Trained at Cornell in machine learning and AI, she pairs deep technical breadth—from full‑stack systems to computer vision and mobile deep learning—with a mission to make ML accessible to everyone. An operator as comfortable leading incident response and org operations as publishing papers, she uniquely combines hands‑on engineering, research credibility, and product leadership.
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