Summary
Gary Lvov is a robotics-focused PhD student and research engineer with five years of hands-on experience bridging AI research and production systems across Boston Dynamics AI Institute, Brown, Northeastern, Amazon Robotics, and GE Research. He specializes in robot perception, localization, and reinforcement learning infrastructure, having shipped prototypes for large-area package tracking, sub-millimeter localization, and distributed hyperparameter tuning for NVIDIA Isaac Lab. Comfortable "duct-taping" diverse AI components to real robots, he has co-authored multiple papers and contributed to teaching robots general skills from demonstrations. Based in Greater Boston, he combines academic rigor with pragmatic engineering, often turning research ideas into working robot demos that expose real-world gaps in autonomy.
5 years of coding experience
4 years of employment as a software developer
PhD Student, Computer Science, PhD Student, Computer Science at Brown University
Computer Engineering and Computer Science, Computer Engineering and Computer Science at Northeastern University
Spanish, Russian, English