Brendan Apfeld is a Staff Applied AI Engineer in Chicago with a decade of experience applying statistics, causal inference, and NLP to drive measurable business impact. He has led production ML efforts—ranging from transformer-based NLI for customer support to GBM and GAM forecasting that delivered multi-million dollar EBIT improvements—and designed online experiments and multi-armed bandits for robust decisioning. With a PhD in Political Science, he brings rigorous causal thinking (regression discontinuity, synthetic controls, matching) to ambiguous, high-stakes problems and pairs it with strong software engineering in Python, R, Julia, and cloud platforms. Brendan has built end-to-end pipelines, comprehensive test suites, and supervised teams to translate models into operational systems. He’s comfortable moving between research-grade Bayesian analyses and pragmatic engineering, and his background in social science gives him a knack for leveraging quasi-experimental designs to extract causal insight from real-world data.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD, Political Science and Government, Doctor of Philosophy - PhD, Political Science and Government at The University of Texas at Austin
Contributions:24 PRs, 77 pushes, 22 branches in 7 years 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Brendan Apfeld - Staff Applied AI Engineer at Omada Health