Yasen Hu
Software Engineer, Perception Architecture at Waymo
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolYasen Hu is a perception-focused software engineer with 11 years of experience building sensor-fusion and object-tracking systems for autonomous vehicles, currently shaping perception architecture at Waymo. He has driven end-to-end perception features at Plus and General Motors, implementing camera/radar/LiDAR fusion, EKF/UKF-based trackers, and real-time C++ inference pipelines using LibTorch and ONNX. Yasen combines rigorous academic training (MS degrees from Georgia Tech and University of Michigan–Dearborn) with hands-on systems work—calibration, data parsing across CAN/UDP/protobuf, and visualization with Qt/OpenGL. He’s motivated by safety-driven research, runs a technical blog, and favors growth through discomfort—a perspective that shows up in tackling both algorithmic depth and production constraints.
11 years of coding experience
9 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of TechnologyBachelor of Engineering - BE Automation Engineering, Bachelor of Engineering - BE Automation Engineering at Huazhong University of Science and Technology Master of Science in Engineering Electrical and Computer Engineering, Master of Science in Engineering Electrical and Computer Engineering at University of Michigan-Dearborn
English, Chinese
Github Skills (49)
blogdown10
yolov510
hugo-theme10
forestry10
hugo10
caffe10
netlify10
machine-learning10
rstudio10
gpu10
sum10
rmarkdown10
object-detection10
sequence10
obsidian10
Programming languages (5)
Github contributions (5)
yasenh/self-driving-car-ND
Oct 2016 - Sep 2017
Contributions:118 commits, 114 pushes, 1 branch in 11 months
yasenh/unscented-kalman-filter
Jun 2019 - Jun 2019
Contributions:17 commits, 16 pushes, 1 branch in 16 days
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