James Neve is a principal-level AI engineer and founder with 11+ years building and shipping ML systems at scale, currently advising and hands-on building production models via his consultancy based in Tokyo. He has led core ML infrastructure and moderation, intent detection, and recommendation pipelines at Eureka (Pairs), combining classical and deep learning approaches with cloud-native deployment on GCP/AWS and service stacks in Python and Go. James holds a PhD in AI from the University of Bristol and authored a Springer book on reciprocal recommender systems, with academic work that has been adopted by industry. Comfortable operating across research, engineering, and product constraints, he specializes in translating academic algorithms into robust, production-ready systems and mentoring teams in modern ML practices. Fluent in Japanese (JLPT N1) and experienced in cross-cultural engineering environments, he uniquely blends UK academic rigor with long-term operational experience in Japan.
11 years of coding experience
5 years of employment as a software developer
Master’s Degree, Computer Science, 1st Class (top 10%), Master’s Degree, Computer Science, 1st Class (top 10%) at University of Cambridge
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of Bristol
Contributions:1 release, 19 commits, 12 PRs in 7 months
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