Summary
Yu-sheng Chen is a Staff Software Engineer in Mountain View with over a decade of hands-on experience building on-device machine learning and computer vision systems at Google. He has led video engineering and ML-based video optimization for Nest products, architecting streaming, encoding, and cloud-device frameworks that shipped across multiple Nest cameras and Hub products. Known for reducing large-scale media costs and improving video quality through cross-team task forces, he combines deep embedded, firmware, and cloud expertise from his earlier work at MediaTek and research at National Taiwan University. His background spans RF/SoC test flows, camera 3A and ISP firmware, and production video systems, giving him rare end-to-end product insight from silicon to consumer devices. Colleagues would point to his pragmatic leadership—running ~7-engineer cross-functional teams across APAC and US—and a penchant for squeezing performance from constrained devices. Outside the obvious, he also blends top-tier academic training (MS at NTU and M.S. work at Stanford) with a playful Github handle, "UglyMan," hinting at a personable, down-to-earth engineering style.
11 years of coding experience
13 years of employment as a software developer
Master of Science (MS), Electrical Engineering, GPA: 3.88/4.00, Master of Science (MS), Electrical Engineering, GPA: 3.88/4.00 at National Taiwan University
Bachelor of Science (BS), Electrical Engineering and Computer Science, GPS: 3.92/4.00, Bachelor of Science (BS), Electrical Engineering and Computer Science, GPS: 3.92/4.00 at National Chiao Tung University
University of Illinois Urbana-Champaign
General Studies, General Studies at Cheng Kung Senior High School (Taipei, Taiwan)
Master’s Degree, Computational & Mathematical Engineering, Master’s Degree, Computational & Mathematical Engineering at Stanford University
Chinese, English, Japanese