Summary
Fujiki Nakamura is a Project Engineer with 11 years of experience blending full-stack web development, data science, and machine learning, currently driving projects at Sakana AI in Tokyo. He has deep hands-on experience building Japanese NLP and open large language models, having contributed to EleutherAI polyglot efforts and led LLM work at Stability AI Japan and ELYZA. His background spans applied research in sim2real, domain adaptation, and model distillation from roles at The University of Tokyo, DeepX, and IGPI, plus production recommender and REST API systems earlier in his career. A strong competition record on Kaggle (top 7–19% finishes across multiple challenges) demonstrates practical model-building and problem-solving under constraints. He combines academic training in cognitive science and applied computer science with nanodegrees in machine learning and full-stack development, enabling him to bridge research, engineering, and product delivery. Less obvious: he balances research-grade techniques (evolutionary strategies, distillation) with pragmatic engineering—shipping APIs, front-end data collection, and production-ready ML systems.
11 years of coding experience
6 years of employment as a software developer
University of Tokyo
Full Stack Web Developer Nanodegree, Computer Software Engineering, Full Stack Web Developer Nanodegree, Computer Software Engineering at Udacity