Jie-ying (Jay) Lee is a software engineer and Ph.D. student specializing in mobile computer vision and machine learning, currently contributing to Google's Pixel Camera Team. He has a strong track record of turning research into production, notably optimizing the Segment Anything Model for mobile with only a 4% IoU drop and 20ms TPU latency. Jay combines academic NeRF and generative modeling work with hands-on backend and cloud engineering experience from Microsoft and Appier, where he delivered dramatic performance improvements and cost-visibility tooling. Educated at NYCU with an exchange stint at ETH Zurich, he blends rigorous research instincts with product-focused execution. Outside of code, he pursues photography, dance, and badminton—interests that inform his work on camera systems and visual algorithms.
10 years of coding experience
4 years of employment as a software developer
Bachelor, Computer Science, 4.23/4.3, Bachelor, Computer Science, 4.23/4.3 at National Chiao Tung University
Science-gifted Class, Science-gifted Class at Taoyuan Municipal Wu-Ling Senior High School
Doctor of Philosophy - PhD, Institute of Computer Science and Engineering, Doctor of Philosophy - PhD, Institute of Computer Science and Engineering at National Yang Ming Chiao Tung University
Exchange Student, Computer Science, GPA: 5.83/6, Exchange Student, Computer Science, GPA: 5.83/6 at ETH Zürich
Contributions:45 commits, 44 pushes, 1 branch in 5 months
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