Umar Bhutta is a Senior Machine Learning Engineer with 11 years building ML, computer vision, and robotics systems across high-impact teams at Neuralink, NVIDIA, FLIR/Aeryon, and academic partnerships with Toyota and GM. He specializes in low-latency, safety-critical ML infrastructure and embedded perception, shipping production software for surgical and autonomous aerial robots. Comfortable across Python and C++ and expert with PyTorch and cloud platforms (AWS/GCP), he now focuses on Physical AI at Scale AI after a year at a stealth AI startup. Umar’s mechatronics background gives him a systems-first perspective that bridges hardware constraints and scalable ML models, enabling practical, real-time deployments in robotics and R&D silicon validation.
11 years of coding experience
7 years of employment as a software developer
Bachelor's Degree Mechatronics Engineering (Robotics and Artificial Intelligence), Bachelor's Degree Mechatronics Engineering (Robotics and Artificial Intelligence) at University of Waterloo
Contributions:1 PR, 26 pushes, 1 branch in 2 months
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