Dongqiangzi Ye
Staff Machine Learning Engineer at Xmotors.ai
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolDongqiangzi Ye is a Staff Machine Learning Engineer based in the San Francisco Bay Area with 10 years of experience building perception systems for autonomous driving. He has led LiDAR algorithm development as Tech Lead at TuSimple—winning first place in the WOD 2022 LiDAR Semantic Segmentation Challenge—and now develops vision-language foundation models for semantic understanding at Xmotors.ai. His background spans industry research and internships at Microsoft Research Asia, Ambarella, and DiDi, plus academic work at UW–Madison, giving him deep expertise across 3D detection, semantic segmentation, and multimodal vision. Known for translating cutting-edge research into production-ready systems, he blends algorithmic rigor with hands-on implementation for real-world autonomy stacks. An engineer comfortable bridging research and product, he brings both competitive benchmarking success and practical deployment experience to perception and deep learning initiatives.
10 years of coding experience
5 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Wisconsin-MadisonBachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Zhejiang University
Github Skills (6)
compression6
visual-recognition5
deep-learning3
pytorch3
quantization3
deep-neural-networks1
Programming languages (1)
Github contributions (5)
EowinYe/CS766_RL_project
Apr 2019 - May 2019
Contributions:58 commits, 55 pushes, 1 branch in 20 days
EowinYe/Pedestrian_paper
May 2017 - Mar 2019
Contributions:11 pushes, 1 branch in 1 year 10 months
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