Summary
Ignat Georgiev is a Senior Machine Learning Scientist and roboticist with nine years of experience turning research-grade ML and robotics into robust production systems, currently driving ML at Tesla while pursuing a PhD at Georgia Tech. He blends deep expertise in vision, SLAM, state estimation, planning and control with systems-level skills in ROS/2, C/C++, Rust, Python and simulation to ship autonomous-driving and robotics products. His background includes leading an award-winning autonomous racecar project, integrating an autonomous valet product across five OEMs, and delivering high-performance motion control and CUDA-accelerated planners. Equally comfortable in research and engineering, he has a proven record of motivating teams, managing complex integrations, and moving bleeding-edge ideas from prototype to deployment. Aiming to build "Star Wars–like" intelligent robots, he quietly pairs entrepreneurial drive with hands-on embedded and full-stack robotics development.
10 years of coding experience
7 years of employment as a software developer
MSc Robotics and Artificial Intelligence, Computer Science, First Class, MSc Robotics and Artificial Intelligence, Computer Science, First Class at The University of Edinburgh
English, Bulgarian