Jacob Hummel is a Solutions Architect and former data scientist with 13 years of experience designing and delivering ML- and data-intensive systems that prioritize performance, observability, and developer productivity. He has driven platform-level shifts—such as API strategies for multi-petabyte lakes, subsecond APIs for massive datasets, and proactive observability—while also implementing MLOps, CI/CD, and serverless migrations that lowered operational burden and sped deployments. Comfortable both as a hands-on engineer and strategic leader, Jacob has built real-time recommender systems, production ML tooling, and templates that enable teams to self-serve and reduce context switching. His background includes a Ph.D. in Astrophysics where he built scalable scientific tooling (gadfly) and ran multi-terabyte simulations—experience that informs his expertise in high-performance computing and pragmatic system design. Based in Durango, Colorado, he blends scientific rigor with enterprise-scale engineering to turn complex data into reliable, autonomous products.
13 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Astrophysics, Doctor of Philosophy (Ph.D.), Astrophysics at The University of Texas at Austin
Bachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at Truman State 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.