Norio Kosaka is a research-focused machine learning engineer with eight years of experience applying reinforcement learning, recommendation evaluation, and NLP to industry-scale products at NAVER, LINE, and LY Corporation. He blends deep academic training—MSc in Machine Learning, advanced mathematics studies in London, and a forthcoming PhD in Informatics focused on computer vision and algebraic geometry—with hands-on engineering work building evaluation systems and inference engines. His internships at Panasonic and robotics-focused roles demonstrate a pattern of turning cutting-edge RL research into reproducible implementations and experiments. Based in Tokyo, he contributes code and technical writing on GitHub and maintains a personal site, signaling an active interest in open research and reproducible ML. A less obvious strength is his cross-disciplinary background from economics to advanced math, which informs pragmatic product thinking alongside rigorous theoretical work.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Machine Learning, Distinction, Master of Science - MS, Machine Learning, Distinction at Royal Holloway, University of London
Bachelor's degree, Economics, Bachelor's degree, Economics at Waseda University
Doctor of Philosophy (PhD), Informatics – Computer Vision and Algebraic Geometry, Doctor of Philosophy (PhD), Informatics – Computer Vision and Algebraic Geometry at The Graduate University for Advanced Studies, SOKENDAI
Master's degree, Mathematics, Master's degree, Mathematics at Birkbeck, University of London
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