Kevin Fu
Machine Learning Engineer at Tesla
Redwood City, California, United States
Summary
🤩
Rockstar🎓
Top SchoolKevin Fu is a machine learning engineer focused on safety-critical autonomy, currently developing end-to-end deep learning models for Tesla Autopilot in the San Francisco Bay Area. With seven years of experience spanning industry and academia, he wrote an MSCS thesis on deep reinforcement learning for heterogeneous multi-agent systems and co-led a CoRL 2025 paper on the topic. He has hands-on AV expertise from Zoox localization work and shipping perception/mapping improvements at Greenzie, plus practical robotics leadership guiding RoboJackets to its first international qualification in four years. Kevin blends research rigor with production pragmatism—adapting state-of-the-art vision and RL methods to real-world sensors like rolling-shutter cameras and safety-critical collision-avoidance systems.
7 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science (Machine Learning), Master's degree, Computer Science (Machine Learning) at Georgia Institute of TechnologyAdvanced Studies Diploma, Advanced Studies Diploma at Thomas Jefferson High School for Science and Technology
Github Skills (77)
multi-agent-reinforcement-learning10
distributed-computing10
robotics10
gtsam10
decision-making10
3d-reconstruction10
reinforcement-learning10
primitive10
robocup10
structure-from-motion10
modular9
ai9
deep-reinforcement-learning9
simulator9
simulation9
Programming languages (9)
Github contributions (5)
kfu02/JaxMARL
Jun 2024 - Dec 2024
Multi-Agent Reinforcement Learning with JAX
Contributions:11 reviews, 42 PRs, 109 pushes in 5 months
tjresearch/research-kevin-kevin
Aug 2019 - Jun 2020
Contributions:186 commits, 120 pushes in 9 months
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