Summary
Smith Mathieu is a Machine Learning Engineer with nine years of experience building data-driven products and platforms across automotive, mobility, and e-commerce domains. He has led ML application development and lifecycle automation for customer targeting and recommendation systems at automotiveMastermind and architected data platforms and SQL automation at Lyft supporting nearly $1B in incentives and ad spend. As a founder of SwitchKeep he explored information retrieval and generative AI to simplify code migrations, demonstrating an entrepreneurial bent alongside hands-on engineering. Smith is skilled across Airflow, Spark, Trino, DBT and data warehousing, and has repeatedly driven improvements in data quality, lineage, and metrics at scale. Based in San Francisco, he combines systems engineering and physics training with pragmatic ML production experience, often bridging research-quality models with robust operational pipelines. An early data hire at several startups, he brings both product instincts and platform-level technical leadership that accelerates analytics and monetization.
9 years of coding experience
10 years of employment as a software developer
School; B.S Systems Engineering and Physics, School; B.S Systems Engineering and Physics at University of Virginia