Summary
Austin Patel is a PhD student at Stanford’s Robotics and Embodied AI Lab focused on robotics, embodied perception, and learning-driven manipulation, supported by an NSF GRFP. He brings a decade of hands-on experience spanning computer vision, micro-robotics, and production ML systems from roles at NVIDIA, Apple, and Autodesk. His research at Berkeley and Stanford produced practical pipelines for reconstructing 3D hand-object poses from internet videos to enable robot imitation via RL, and he has worked on GPU-accelerated transformer performance and FP8 inference bottlenecks. Comfortable moving between low-level hardware-aware optimization and high-level learning-based robotics, he combines strong EECS foundations with real-world engineering impact. Based in the Bay Area, he pairs academic rigor with industry-scale system design, often translating research prototypes into scalable tooling and performance analyses.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Electrical Engineering and Computer Science, Bachelor of Science - BS, Electrical Engineering and Computer Science at University of California, Berkeley
Doctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Stanford University
Spanish, English