Yun-ta Tsai is a Sr. Staff Engineer at Tesla Autopilot with about a decade of experience turning real-time imaging, vision, and hardware-aware algorithms into reliable, production-grade systems. His career spans leadership and hands-on roles at Google Research, NVIDIA, Nokia, and Tesla, where he has built and optimized imaging pipelines, camera drivers, and high-performance computing. At Tesla, he created Photon Count Network and HDR video telemetry and led ML efforts to address hard cases, improving safety in low-visibility conditions. While at Google, he led auto white balance and portrait relighting efforts for Pixel, Photos, and Street View. Based in California, he holds an MS in Computer Science from USC and a BS from National Chiao Tung University, and he pursues photography outside of work. His work fuses research rigor with pragmatic engineering to deliver scalable, real-time vision systems across consumer devices and automotive applications.
11 years of coding experience
14 years of employment as a software developer
B.S, Computer Science, B.S, Computer Science at National Chiao Tung University
M.S, Computer Science, M.S, Computer Science at University of Southern California
This is a github to host the webpage for: Handheld Mobile Photography in Very Low Light
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