Summary
Zach Siegel is a data engineer and AI solutions builder with nine years of experience designing production-grade information pipelines for finance and biotech. He currently develops Current AI at Walleye Capital, ensuring analysts and portfolio managers have world-class data and ML-enabled workflows, and previously translated scientific problems into automated, organization-wide services at Capsida. With an MS from UCLA Anderson focused on optimization and large-scale logistics, he blends rigorous mathematical modeling—vehicle routing, resource allocation, scheduling—with hands-on software engineering. A self-taught freelancer since 2016, Zach uniquely pairs zero-to-one product development with computational mathematics and has a long-standing commitment to education, having taught math, CS, and statistics and supported incarcerated youth.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Decisions, Operations, and Technology Management, Master of Science - MS, Decisions, Operations, and Technology Management at UCLA Anderson School of Management
Bachelor's, Mathematics; Computer Science minor, Bachelor's, Mathematics; Computer Science minor at Pomona College