Xinyu Y
Staff Machine Learning Scientist at OVERJET
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolXinyu Y is a Staff Machine Learning Scientist with eight years of experience building computer vision and video understanding systems across startups and industry, currently leading ML work at Overjet. His background spans object detection, multi-object tracking, action recognition, and medical image processing, with practical wins including runner-up finishes in the CVPR AI City and ICCV multi-camera tracking challenges. He has driven edge-cloud collaboration and production ML pipelines at Wyze and developed video content understanding at Unity, demonstrating an ability to move research into deployed products. Trained at Fudan and the University of Washington, he blends solid academic foundations with hands-on engineering and a knack for competitive, benchmark-driven improvements that accelerate autonomous-systems and healthcare imaging applications.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Electrical Engineering, Master of Science - MS, Electrical Engineering at University of WashingtonBachelor of Applied Science - BASc, Electrical Engineering, Bachelor of Applied Science - BASc, Electrical Engineering at Fudan UniversityExchange Programme, Computer Science, Exchange Programme, Computer Science at National University of Singapore
Chinese, English
Github Skills (3)
ipl10
computer-vision8
deep-learning7
Programming languages (1)
Github contributions (5)
ipl-uw/2019-CVPR-AIC-Track-3-UWIPL
Apr 2019 - Jun 2019
Repository for 2019 CVPR AI City Challenge Track 3 from IPL@UW
Contributions:35 commits, 15 pushes, 1 branch in 1 month
deep-learningcomputer-visioniplcvpr-2019cvpr
Y-x-Y/EE596
Apr 2019 - May 2019
Contributions:18 pushes, 1 branch in 1 month
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