Nozomu Okuda is a Senior Machine Learning Engineer with 11 years of experience specializing in productionizing predictive models and data pipelines at scale. He has driven substantial performance gains by modernizing ETL and modeling stacks—migrating R+Spark to dbt+Snowflake for up to 10x runtime improvements—and automated prediction workflows across business lines using AWS, Airflow/Astronomer, and containerized deployments. His background blends rigorous ML and data engineering with humanities scholarship: he trained language models for detecting Latin intertexts and implemented REST APIs for classical text search during a PhD in Classics. Comfortable translating research into production, he has delivered Bayesian and computer-vision solutions that led to peer-reviewed publications and a U.S. patent, and he’s known for practical optimizations that save time and resources across teams.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Classics (Latin Language and Literature), Doctor of Philosophy - PhD Classics (Latin Language and Literature) at University at Buffalo
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Brigham Young University
Contributions:302 pushes, 139 branches in 2 years 7 months
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Nozomu Okuda - Senior Machine Learning Engineer at The Hartford