Yasen Hu
San Francisco, California, United States
Summary
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SeniorYasen 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
Github Skills (50)
blogdown10
hugo-theme10
hugo10
caffe10
auto-import10
ransac10
netlify10
machine-learning10
rstudio10
libtorch10
latex10
deep-learning10
gpu10
rmarkdown10
obsidian10
Programming languages (4)
Github contributions (5)
yasenh/lidar-object-detection
May 2019 - Sep 2019
LiDAR object detection based on RANSAC, k-d tree
Contributions:9 commits, 8 pushes, 1 branch in 3 months
kd-treelidarobject-detectionransac
yasenh/self-driving-car-ND
Oct 2016 - Sep 2017
Contributions:118 commits, 114 pushes, 1 branch in 11 months
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