Yecheng Lyu is a senior machine learning engineer with a decade of experience applying deep learning to autonomous driving and perception systems. He holds a Ph.D. from Worcester Polytechnic Institute and has developed production-grade BEV perception and DRL-based planning for autonomous parking, as well as LiDAR- and camera-based 3D object detection and large-scale auto-labeling pipelines. His work spans industry research and productization at companies including Volvo Cars, Black Sesame Technologies, Torc Robotics, and MERL, with publications in CVPR and T-PAMI reflecting strong academic rigor. Based in Mountain View, he combines hands-on model development with function ownership—often improving classical CV baselines via deep learning—and has practical experience turning research into scalable annotation and perception software.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering (BE) Electrical and Electronics Engineering, Bachelor of Engineering (BE) Electrical and Electronics Engineering at Wuhan University
Doctor's Degree Electrical and Computer Engineering, Doctor's Degree Electrical and Computer Engineering at Worcester Polytechnic Institute
Contributions:15 pushes, 2 branches, 2 issues in 2 years 10 months
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Yecheng Lyu - Sr. Machine Learning Engineer at Torc Robotics