Summary
Jean Flaherty is a computer vision engineer specializing in real-time 3D perception, combining classical SLAM with modern deep learning to build robust localization and mapping systems. He led NeRF research at the University of Aizu, co-authoring eight papers and contributing practical improvements to Nerfstudio while managing GPU infrastructure and training large models. His flagship project, LocalizeAR, showcases GPU-accelerated SIFT and optimized spatial data structures for large-scale visual localization, reflecting a focus on performance and algorithmic depth rather than treating ML as a black box. With a decade of engineering experience spanning startups, enterprise work at S&P Global, and mobile iOS development, he brings production-grade software practices to research problems. Bilingual in English and Japanese and now based in Kobe, he’s seeking SLAM, 3D computer vision, or robotics perception roles in Japan. An unstated strength is his ability to bridge research and shipping: he runs study groups, teaches, and maintains open-source tools that translate novel ideas into deployable systems.
10 years of coding experience
17 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at The University of Aizu
Bachelor of Science - BS, Software Engineering, Bachelor of Science - BS, Software Engineering at University of Northern Colorado
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Colorado Boulder