Zheyuan Hu is a PhD student at Carnegie Mellon’s Robotics Institute with a decade of hands-on experience building robot software and research in deep reinforcement learning. Trained in Computer Science and Applied Mathematics at UC Berkeley, he has blended academic rigor with practical system design—co-founding and leading robotics teams to develop autonomous control and path-planning systems for competition. At BAIR he worked under Prof. Sergey Levine on RL for robotics, reflecting a focus on learning-driven control and real-world deployment. Based in Berkeley, he brings both software engineering depth and applied math intuition to mechatronics problems, and his trajectory suggests a knack for turning competition-grade prototypes into research-quality systems.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Science and Applied Mathematics, Bachelor's degree Computer Science and Applied Mathematics at University of California, Berkeley
Doctor of Philosophy - PhD Mechatronics Robotics and Automation Engineering, Doctor of Philosophy - PhD Mechatronics Robotics and Automation Engineering at Carnegie Mellon University
Contributions:15 commits, 12 pushes, 1 branch in 3 months
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