Gabrael Levine
Robotics Machine Learning Engineer at Hands-On Robotics
United States
Summary
🤩
Rockstar🎓
Top SchoolGabrael Levine is a Robotics Machine Learning Engineer with a decade of hands-on experience building AI-driven robotic systems and mechatronic hardware. A Stanford CS graduate (BS and MS), he has worked from embedded firmware and circuit design at ODrive to research at SAIL and now develops Optimus AI at Tesla, bridging control theory, perception, and real-world actuation. He combines academic rigor with practical engineering: designing test rigs, shipping embedded software, and deploying ML models on complex robotic platforms. Active in volunteer robotics education, he emphasizes reproducible experiments and end-to-end system reliability—skills that help translate cutting-edge research into production-ready robots.
10 years of coding experience
2 years of employment as a software developer
Computer Science, Computer Science at Foothill CollegeMaster's degree Computer Science, Master's degree Computer Science at Stanford University
Github Skills (18)
simulation10
robot-simulator10
robotics9
hal9
async8
robot7
embedded7
rust6
executor6
ros5
camera5
kinect4
depthai4
computer-vision3
urdf2
Programming languages (5)
Github contributions (5)
G-Levine/neural_controller
Aug 2023 - Nov 2024
Contributions:1 review, 4 PRs, 27 pushes in 1 year 2 months
G-Levine/wheeled_biped_controller
May 2023 - Feb 2024
Contributions:17 pushes, 3 branches in 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.