Summary
Nate Langholz is a Lead AI Engineer based in Santa Monica with eight years of experience building and operationalizing machine learning and data science products across startups and global enterprises. He has led teams at IBM integrating Watson, MLOps, and governance into client-facing POCs, and previously drove data strategy and revenue-impacting models at Nike, Red Bull, HBO, and Vejo. Nate blends rigorous academic training (PhD in Statistics from UCLA) with hands-on production experience—shipping recommendation, CLTV, and real-time broadcast analytics systems that have been used in live events and generated seven-figure annual revenue. He’s equally comfortable mentoring and teaching, having served as a visiting professor and lecturer at UCLA where students built end-to-end deployed data products. Known for translating business needs into scalable technical roadmaps, he also has a track record of hiring and growing cross-functional analytics teams in high-growth settings. An unusual strength: deep domain experience taking research-grade statistical models through hardware, regulatory, and broadcast production constraints.
8 years of coding experience
13 years of employment as a software developer
Bachelor of Arts (B.A.) Mathematics and Statistics, Bachelor of Arts (B.A.) Mathematics and Statistics at St. Olaf College
University of California, Los Angeles