Summary
Xander O'Han is a data science leader with 11 years of experience building metrics, tooling, and data infrastructure to drive product and AI outcomes across Google, Waymo, and Meta. Currently managing Data Science for Meta Superintelligence Labs Infrastructure, he partners closely with engineers to deliver the pipelines and monitoring that power GenAI development and deployment. His background spans product growth, safety-focused behavior analytics for self-driving software, and marketing-driven revenue optimization, giving him a rare blend of product intuition and rigorous measurement. At Waymo he created hillclimbing and regression monitoring metrics and delivered evaluation workflows that produced 10x improvements in pedestrian metrics and measurable cost savings. Trained in financial engineering (UC Berkeley) with early hedge fund and investment-quant roles, he brings quantitative rigor and product-facing execution to large-scale ML infrastructure. Based in San Francisco, he hires and scales teams that translate research-grade models into auditable, production-ready systems.
11 years of coding experience
10 years of employment as a software developer
Master’s Degree, Financial Engineering, Master’s Degree, Financial Engineering at University of California, Berkeley, Haas School of Business
Laguna Beach High School
Bachelor of Arts (B.A.), Major: Economics - Minor: Mathematics, Bachelor of Arts (B.A.), Major: Economics - Minor: Mathematics at Pomona College