Summary
Shohei Iida is a machine learning engineer with nine years of experience specializing in NLP and deep neural networks, currently leading industry–academic joint research at Yayoi Co., Ltd. He has driven projects end-to-end—from cross-organizational consensus and contracts to research direction, model implementation, and paper authorship—and recently presented at AAI and the Japanese Society for Artificial Intelligence. His research track record includes ACL-SRW and MT Summit publications, journal acceptances, reviewing for international conferences, and a master’s thesis awarded by the University of Tsukuba. Technically, he brings deep implementation experience with fairseq-based encoder–decoder improvements and advanced Linux proficiency, plus practical success in data-driven product R&D within a legacy company’s innovative division. He also has competitive data-science chops (Kaggle Jane Street silver) and has overseen the editorial supervision of a university-level mathematics book, reflecting a blend of applied engineering, research rigor, and educational engagement. Colleagues describe him as someone who prefers to scale impact inside product-focused R&D rather than pursue external career moves.
9 years of coding experience
修士(情報システム), 知能機能システム専攻, 優秀修士論文賞受賞, 修士(情報システム), 知能機能システム専攻, 優秀修士論文賞受賞 at 筑波大学