Edward Zhu

San Francisco Bay Area United States
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Summary

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Senior
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Top School
Edward Zhu is a software engineer and control systems researcher with 10 years of experience building prediction, planning, and optimal-control software for autonomous vehicles and multi-agent systems. Currently on Waymo’s trajectory optimization team, he holds a PhD in Mechanical Engineering from UC Berkeley where his work blended model predictive control, data-driven reachability, and autonomous racing. His background spans industry roles from ML-driven vehicle control at Plus to cloud resource arbitrage and demand forecasting, combining deep learning, ROS, Python, and C++ for production-grade systems. Earlier research in tensegrity robot locomotion and Army vehicle predictive maintenance highlights an uncommon breadth across agile robotics, simulation-driven digital twins, and multi-GPU model development. He brings a pragmatic research-to-deployment mindset that bridges rigorous control theory with scalable ML engineering.
code10 years of coding experience
job11 years of employment as a software developer
bookDoctor of Philosophy - PhD Mechanical Engineering Controls, Doctor of Philosophy - PhD Mechanical Engineering Controls at University of California, Berkeley
bookBachelor of Science - BS Mechanical Engineering, Bachelor of Science - BS Mechanical Engineering at Villanova University
languagesChinese, English
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Github Skills (10)

ieee10
simulation10
mujoco10
simulator10
physics9
robotics9
rover7
self-driving-car6
autopilot6
perception5

Programming languages (2)

C++JavaScript

Github contributions (5)

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zhu-edward/multi-agent-LMPC

Feb 2020 - Dec 2020

Contributions:30 commits, 3 pushes, 1 branch in 10 months
Contributions:57 commits in 18 days
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