Joel Tsuchitori
Robotics Software Engineer at Neuralink
Fremont, California, United States
Summary
👤
Senior🎓
Top SchoolJoel Tsuchitori is a robotics software engineer and Engineering Physics student at UBC with nine years of hands-on experience building control systems, ML models, and hardware for real-world sensing and autonomy. He has applied signal processing, Monte Carlo methods, and PyTorch to improve geophysical inversion tools and led controls development for an autonomous sailboat using Matlab and Python. Joel’s research and internships span neuroscience decoding with widefield mesoscope data, RFSoC-based detector readout design, and state-of-the-art deepfake detection and dataset curation for Resemble AI. Now at Neuralink, he brings a cross-disciplinary toolkit—firm grounding in control theory and signal processing, practical PCB and mechanical fabrication skills, and production ML experience—for robotics and neural interface challenges. Colleagues know him for pairing rigorous research with rapid prototyping, and for exploring interpretable transformer embeddings in neural data beyond typical black-box ML approaches.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Engineering Physics/Applied Physics, Bachelor of Engineering - BE, Engineering Physics/Applied Physics at The University of British Columbia
Github Skills (8)
ros-node5
controller5
ros5
pathfinding1
ompl1
raspberry-pi1
mkdocs-material1
documentation1
Programming languages (6)
Github contributions (5)
Iobotics/FRC-2019-DeepSpace
Jan 2019 - Apr 2019
Contributions:107 commits, 70 pushes, 11 branches in 3 months
Interactive-Campus/InteractiveCampusMain
Oct 2018 - May 2019
Contributions:2 PRs, 46 pushes, 6 branches in 7 months
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