Summary
Aman Choudhri is a software engineer in San Francisco with 11 years of experience bridging probabilistic machine learning, causal inference, and production engineering. A Columbia statistics and math graduate, he has combined academic research—most recently at the Gelman Lab on social networks and political preferences—with applied ML roles at the Flatiron Institute, Public Policy Lab, and biostatistical causal work at IBM. Now at Exa, he brings research rigor to software projects, shipping reproducible data-driven systems informed by deep statistical training. He also takes on quant and systematic macro consulting engagements, reflecting a knack for translating complex models into actionable insights for policy and finance. An uncommon thread in his background is sustained collaboration across academic labs and policy organizations, giving him fluency in both experimental design and production-grade tooling.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, Bachelor of Arts - BA at Columbia University in the City of New York
Spanish