Summary
Mohammadreza Sharif is a senior robotics algorithms and control engineer with a decade of experience building probabilistic, ML-driven, and vision-based systems for robot navigation, localization, and mapping. He holds a PhD in Electrical Engineering and blends rigorous research—on particle filters, Bayesian state estimation, and human-in-the-loop RL for prosthetic grasp control—with production-grade software design and optimization. At Neato Robotics he took algorithms from concept to deployed services, re-architecting robot software for modularity, improving simulators, and shipping a room-segmentation pipeline with REST APIs and profiling-driven performance wins. Now at Intuitive, he focuses on advanced control and perception challenges, applying sensor fusion and optimization at scale. Known for bridging theory and practice, he pairs deep probabilistic insight with pragmatic C++ and system engineering to deliver robust, memory- and CPU-efficient solutions.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical Engineering, 4.00/4.00, Doctor of Philosophy - PhD, Electrical Engineering, 4.00/4.00 at Northeastern University
Bachelor of Science - BS, Mechanical Engineering, 3.80/4.00, Bachelor of Science - BS, Mechanical Engineering, 3.80/4.00 at Sharif University of Technology
English, Persian