Summary
Zachary Kurtz is an independent consultant and machine learning engineer with a Ph.D. in Statistics from Carnegie Mellon and over a decade applying quantitative research to production systems. He has led ML and data science efforts across academia, government, and industry—deploying prioritized resource models for Allegheny County, advancing autonomous-vehicle data science at Argo AI, and shipping ML solutions at EvolutionIQ. Known for systematic tech-debt paydown, process optimization, and rigorous documentation, he also drives engineering best practices like CI, static analysis, and agentic coding in client stacks. Raised in the forest and trained as a statistician, Zachary blends ecological patience with rigorous modeling to tackle messy real-world data problems. He’s currently running an independent consultancy while consulting for Grotto AI, choosing engagements that mix thoughtful research with pragmatic engineering. As an autistic practitioner with a taste for the Rosie Project series, he brings both precise analytical depth and an unconventional perspective to team dynamics and problem framing.
10 years of coding experience
13 years of employment as a software developer
Master's degree, Applied Mathematics, Master's degree, Applied Mathematics at University of Delaware
Ph.D., Statistics, Ph.D., Statistics at Carnegie Mellon University
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Eastern Mennonite University