Summary
Supannee Tanathong is a Staff Computer Vision Engineer with 11 years of experience combining academic rigor and industry delivery to build production-grade vision systems across road surveying, property scanning, AR/VR, and robotics. She specialises in multi-view geometry, SfM/SLAM, neural rendering (NeRFs, 3D Gaussian Splatting, diffusion models), and scalable reconstruction pipelines that fuse monocular/multi-camera imagery with GPS, IMU and LiDAR for metric spatial understanding. A proven end-to-end owner, she moves systems from research prototypes to deployed services using C++, Python and AWS, and has driven patented solutions for nation-scale road mapping. Her work spans both device-level SLAM and cloud-scale reconstruction, and she has recently blended NeRF-guided diffusion and uncertainty analysis into practical pipelines during a research fellowship. Based in London, she now applies this depth to robotic perception at Paddington Robotics while continuing to explore VLMs and LLMs to bridge 3D perception and generative models.
11 years of coding experience
6 years of employment as a software developer
Ph.D. Geoinformatics Engineering (Computer Vision), Ph.D. Geoinformatics Engineering (Computer Vision) at University of Seoul-서울시립대학교