Yuan Li
Principal Software Engineer at Google
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolYuan Li is a Principal Software Engineer in the San Francisco Bay Area with 10+ years designing and shipping production computer vision and on-device AI features at Google, including foundational work on Lens, Photos search, and Pixel face authentication. He has led teams across research and product engineering—running Nest Perception, founding Google Research efforts in fine-grained visual recognition, and building a Silicon Valley R&D group for Horizon Robotics focused on embedded, hardware-accelerated AI for ADAS and smart retail. Yuan blends deep research experience with product delivery, moving models from prototype to large-scale consumer deployment on devices with tight power and latency constraints. Currently he’s driving GenAI features for Pixel while continuing to hire engineers who bridge ML research and embedded systems. He holds advanced CS degrees from Tsinghua and USC, and is known for translating cutting-edge vision research into pragmatic, manufacturable solutions. An uncommon strength is his track record of spanning cloud-scale vision systems and highly optimized on-device AI, enabling end-to-end product impact.
10 years of coding experience
15 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Southern CaliforniaMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Tsinghua UniversityHigh School, High School at Changzhou Senior Middle School
Github Skills (146)
high-resolution10
simulator10
backbone10
latency10
science10
neural-architecture-search10
semantic-segmentation10
tensorrt10
re-identification10
searching10
segmentation10
ranking10
in-progress9
robotics9
representation-learning9
Programming languages (6)
Github contributions (5)
chenwydj/DARTS_evaluation
Nov 2020 - Apr 2022
Contributions:50 commits, 16 pushes in 1 year 5 months
VITA-Group/TEGNAS
Jul 2021 - Nov 2022
"Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics" by Wuyang Chen, Xinyu Gong, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, and Zhangyang Wang
Contributions:9 commits, 2 PRs, 8 pushes in 1 year 4 months
yangneural-architecture-searchchentrainingwang
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