Summary
Naoto Shimakoshi is a machine learning engineer with eight years of experience applying ML to healthcare, automotive, live streaming and e‑commerce products. After earning a master’s in mechanical engineering from Kyoto University, he joined DeNA as a new graduate to build models for automated sleep-stage and disorder detection, later driving ML adoption for automotive services while on secondment to Mobility Technologies. He returned to DeNA to develop recommendation systems for live and e‑commerce platforms and in 2023 moved to LayerX to focus on ML applications for the Bakuraku business. A Kaggle Competitions Grandmaster, he combines rigorous academic training with practical production experience and a track record of solving domain-specific problems end-to-end. Notably, his background bridges signal-level biomedical modeling and large-scale recommender systems, giving him a rare cross-domain perspective.
8 years of coding experience
4 years of employment as a software developer
修士, 機械理工学, 修士, 機械理工学 at 京都大学