Summary
Yasen Hu is a seasoned software engineer specializing in perception architecture and sensor fusion for autonomous vehicles, with a decade of experience delivering perception systems from prototyping to production. He currently builds and maintains perception software at Waymo, focusing on near- and long-range fusion, object detection, and multi-object tracking with hands-on work in C++, LibTorch, and ONNX. Previously at Plus, he progressed from Senior Research Engineer to Staff Research Engineer, driving research-led perception solutions for autonomous driving. His GM tenure encompassed perception systems engineering and intern work, developing camera/radar fusion, Kalman filtering, MOT, and calibration across multiple sensors. Based in San Francisco, he holds a MS in Computer Science from Georgia Tech and an MS in Electrical and Computer Engineering from the University of Michigan-Dearborn. Outside work, he maintains a personal blog and embodies a growth mindset that thrives on tackling challenging, uncomfortable problems to sharpen skills.
11 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Computer Science, 4.00, Master of Science - MS, Computer Science, 4.00 at Georgia Institute of Technology
Bachelor of Engineering - BE, Automation Engineering, GPA:3.77/4.00, Major GPA:3.85/4.00, Bachelor of Engineering - BE, Automation Engineering, GPA:3.77/4.00, Major GPA:3.85/4.00 at Huazhong University of Science and Technology
Master of Science in Engineering, Electrical and Computer Engineering, GPA:3.91/4.00, Master of Science in Engineering, Electrical and Computer Engineering, GPA:3.91/4.00 at University of Michigan-Dearborn
English, Chinese