Hiroto Udagawa is a Senior Engineering Manager specializing in AI/ML with a decade of experience building production-grade machine learning systems across startups and large tech. He led foundation-model efforts for financial institutions on Hyperplane before joining Nubank’s AI Core team, and previously drove ads personalization and ranking at LinkedIn. Trained in statistics and data science at UC Berkeley and Stanford, he blends rigorous quantitative foundations with product-focused engineering. Hiroto is comfortable moving models from research to scale, having worked on both founding-team ML infrastructure and enterprise-grade personalization pipelines. Based in the San Francisco Bay Area, he pairs hands-on technical leadership with a pragmatism shaped by applied research and large-scale production constraints. A detail often overlooked: his background includes large-scale data scraping and visualization work funded by AWS, reflecting early experience turning messy real-world data into actionable insights.
10 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Statistics and Business Administration, Bachelor’s Degree Statistics and Business Administration at University of California, Berkeley
Master’s Degree Statistics - Data Science, Master’s Degree Statistics - Data Science at Stanford University
Contributions:86 commits, 59 PRs, 58 pushes in 2 months
malmoreinforcement-learningreinforcement
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Hiroto Udagawa - Senior Engineer Manager - AI ML at Nubank