Summary
Kimikazu Kato is a mathematically driven data scientist and machine learning engineer with over 14 years of professional experience and a Ph.D. in computer science from the University of Tokyo. He has led algorithm design and system development across finance, telecom, and recommender systems, combining numerical computation, computational geometry, and hardware-conscious performance tuning. At Mizuho Securities and previously SoftBank and Silver Egg, he translated research into production—building recommender engines, medical-data solutions, and GPU-accelerated analytics—while shaping AI governance and in-house ML training. Known for making complex technical ideas accessible, he balances deep theoretical expertise with practical implementation skills in Python, PyTorch, and cloud platforms. An uncommon strength is his long-standing focus on geometric computation and mathematical modeling, which informs both his algorithmic innovations and technical leadership.
13 years of coding experience
26 years of employment as a software developer
Ph.D, Computer Science, Ph.D, Computer Science at 東京大学 / The University of Tokyo
Japanese, English