Summary
Fangning He is a Senior Computer Vision Scientist in Seattle with nine years of experience building 2D/3D mapping, photogrammetry, and point-cloud processing systems for companies including NVIDIA, Amazon, and HERE Technologies. He specializes in large-scale multi-sensor integration and global optimization (bundle adjustment, pose-graph) for airborne and mobile mapping, and has a strong track record of shipping C++/Python tooling and AWS-based pipelines for massive LiDAR and imagery datasets. His PhD-focused research on UAV photogrammetry and dense image matching informs practical solutions for registration between image- and laser-derived point clouds. At Amazon Scout he led core mapping algorithms for autonomous robots, and at NVIDIA he now advances 3D vision and mapping in production contexts. Known for clear technical communication and rapid self-directed learning, he blends deep academic rigor with hands-on engineering to move research prototypes into scalable systems. An early background in geomatics and exchange study in Hong Kong adds international depth to his sensor-fusion expertise.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.Sc.), Geographic Information Science and Cartography, Bachelor of Science (B.Sc.), Geographic Information Science and Cartography at Wuhan University
Doctor of Philosophy (Ph.D.), Lyles School of Civil Engineering / Geomatics, 3.96 / 4.00, Doctor of Philosophy (Ph.D.), Lyles School of Civil Engineering / Geomatics, 3.96 / 4.00 at Purdue University
Master of Science (M.Sc.), Geoinformatics, Master of Science (M.Sc.), Geoinformatics at Faculty of Geo-Information Science and Earth Observation (ITC) of the University of Twente
Exchange Student, Electrical, Electronics and Communications Engineering, 4.06 / 4.3, Exchange Student, Electrical, Electronics and Communications Engineering, 4.06 / 4.3 at City University of Hong Kong