Summary
Yuya Yamamoto is a Success Machine Learning Engineer based in Tokyo with nine years of experience applying ML to manufacturing and materials science, blending a Ph.D. in chemical/biological engineering with hands-on industry research. He has led Japan manufacturing GTM and customer success at DataRobot and now supports enterprise ML workflows at Weights & Biases, driving ARR growth through practical deployment of predictive maintenance, soft sensors, anomaly detection and inverse problem workflows. A Kaggle Competitions Grandmaster and originator of the Nejumi LLM leaderboard, he pairs elite competitive modeling skills with deep domain expertise in material properties and finite element–adjacent thinking. Yuya is customer-facing and product-minded, frequently publishing practical MLOps guidance and industry tips in Japanese, which helps bridge technical teams and manufacturing stakeholders. Fluent in Japanese and strong in English, he’s known for turning complex experimental science into deployable ML solutions that deliver measurable business impact.
9 years of coding experience
13 years of employment as a software developer
博士, 化学生命工学, 博士, 化学生命工学 at 東京大学
Japanese, English