Summary
Fei Han is a software engineer with a decade of experience building real-time visual-inertial localization, mapping, and SLAM systems for mobile and embedded platforms across Google, Autel Robotics, and Amazon Lab126. He combines PhD-level research in long-term place recognition and visual SLAM with over five years of professional C/C++ systems design, shipping efficient algorithms for AR/VR, drones, and home robots. Known for squeezing performance out of constrained hardware, he has delivered production-grade 6DoF tracking and localization stacks and a prior internship that achieved a 10x C++ performance improvement in big-data queries. Based in San Francisco and active in the robotics community, he blends rigorous research insights with pragmatic engineering and strong written and cross-functional communication skills.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (BEng) Automation, Bachelor of Engineering (BEng) Automation at University of Science and Technology of China
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Colorado School of Mines
Doctor of Philosophy (PhD) Mechanical Engineering, Doctor of Philosophy (PhD) Mechanical Engineering at City University of Hong Kong