Jonathan Leban

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Summary

🤩
Rockstar
Jonathan Leban is a Co-Founder and CTO with six years of experience at the intersection of robotics, computer vision, and applied materials science, combining rigorous academic training from CentraleSupélec and UC Berkeley. He transitioned from research roles at Unity—where he built award-winning sim-to-real pose estimation systems and integrated ML pipelines with ROS and MoveIt—to founding Fiilin, a startup reimagining sports-nutrition delivery for athletes. Jonathan’s work blends domain randomization, deep learning, and systems engineering to turn simulated insights into reliable real-world robotic behaviors. He has hands-on experience across the stack: physics-driven modeling, robot control, perception, gRPC integrations, and product-focused hardware/software design. Beyond technical chops, he writes about AI and has a track record of turning research prototypes into commercial products, demonstrating entrepreneurial instincts grounded in measurable robotics results.
code6 years of coding experience
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Github Skills (33)

simulation10
python10
trajectory-generation10
machine-learning10
training-data10
robot10
deep-learning10
gpu10
urdf10
robotics-simulation10
synthetic-data10
autonomous-robots10
motion-planning10
ros10
robotics9

Programming languages (3)

C#Jupyter NotebookPython

Github contributions (5)

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Perception toolkit for sim2real training and validation
Contributions:3 pushes in 1 day
sim2realperceptionvalidationtraining
Contributions:8 PRs, 56 pushes, 10 branches in 1 month
manipulationrobot-simulationroboticsphysics-simulationrobotics-development
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