Anthony Galczak is a Senior Data & Applied Scientist with nine years of experience building ML and causal-inference systems that answer what works, why it works, and how to act on it. At Microsoft he architects the Experiment Insights Framework used across 10+ product teams, led measurement for Copilot deployments impacting 70k+ users, and drove product and pricing experiments that contributed tens of millions in annualized value. He blends deep causal modeling and Bayesian/Frequentist analytics with practical engineering—Python, Azure, PowerBI—to ship production models and redesign risk-detection pipelines that saved millions. Former roles at Amazon, Stanford AI Lab, and Sandia show strong AutoML, tabular-ML, and large-scale data engineering chops, including an AutoGluon contribution and AutoML benchmarking work. Anthony pairs hands-on prototyping with cross-functional leadership—interim people management, executive-facing briefings, and monthly AI talks—making him both a technical SME and an effective communicator. An uncommon strength is translating advanced causal methods into repeatable frameworks used by dozens of PMs and engineers to drive high-impact product decisions.
9 years of coding experience
6 years of employment as a software developer
Associate's Degree in Computer Information Systems (Programming), Programming, 4.0, Associate's Degree in Computer Information Systems (Programming), Programming, 4.0 at Central New Mexico Community College
Bachelor of Science - BS, Computer Science, 4.0, Bachelor of Science - BS, Computer Science, 4.0 at University of New Mexico School of Engineering
Bachelor of Science - BS, Mathematics, 4.0, Bachelor of Science - BS, Mathematics, 4.0 at The University of New Mexico
Jenison High School
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
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.