Hanxiao Deng
Software Engineer, Perception at Waymo
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolHanxiao Deng is a software engineer specializing in perception with eight years of experience building production-grade computer vision systems for autonomous and large-scale video applications. Currently at Waymo, he focuses on object detection for self-driving stacks, bringing prior applied-science experience from Amazon where he worked on video understanding, published research, and filed patents. He earned an M.S. in Systems Engineering from UC Berkeley after a B.Eng. in Satellite Navigation from Wuhan University, a background that informs his strengths in sensor fusion and tracking. At Xpeng Motors he implemented fusion and tracking for a production vehicle platform and placed top in the Lyft 3D detection challenge at NeurIPS 2019. Known for translating research into deployed features, he combines academic rigor with hands-on engineering in safety-critical perception pipelines. Based in Mountain View, he blends deep learning research, systems engineering, and practical product delivery in autonomous mobility.
8 years of coding experience
3 years of employment as a software developer
B.Eng, Satellite Navigation, B.Eng, Satellite Navigation at Wuhan UniversityM.S., Systems Engineering, M.S., Systems Engineering at University of California, Berkeley
Chinese, English
Github Skills (5)
encoding2
autoencoder2
abaqus2
python2
pointnet2
Programming languages (3)
Github contributions (5)
hxdengBerkeley/PointCNN.Pytorch
Mar 2018 - Apr 2018
Contributions:4 commits, 48 pushes, 1 branch in 1 month
hxdengBerkeley/object_detection
Mar 2018 - Mar 2018
Contributions:6 commits, 10 pushes, 1 branch in 4 days
lidar-object-tracking
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