Summary
Jamie Saxon is a Senior Software Engineer specializing in transportation and geospatial systems, building scalable pipelines that turn messy telemetry into actionable insight using Python, SQL, Spark, and AWS. Trained as a particle physicist and contributor to the Higgs boson discovery, Jamie brings uncommon expertise in instrumentation, real-time classification, and rigorous statistical modeling to problems of mobility and infrastructure. At Mapbox and now Planet, they have shipped production classification and traffic-speed systems that improve accuracy while cutting compute costs, and led cross-functional deliveries for partners like Michelin. Their work blends data engineering, modeling, and systems design with careful attention to measurement bias and lifecycle validation. Jamie’s background in deploying custom electronics and city-scale measurement devices informs pragmatic solutions for scaling and validating noisy sensor data. Based in Washington, D.C., they enjoy working across technical boundaries to make complex spatial telemetry useful for policy and product decisions.
10 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Physics and Political Science, Bachelor’s Degree Physics and Political Science at Swarthmore College
Doctor of Philosophy (Ph.D.) Experimental Particle Physics, Doctor of Philosophy (Ph.D.) Experimental Particle Physics at University of Pennsylvania
French, Spanish, German, English, python