Matt Deakyne is a Lead Data and Automation Engineer with 11 years of experience building API-driven pipelines, automation, and AI-enabled insights to accelerate decision-making and reduce operational friction. He combines hands-on Python engineering—migrating legacy SAS workflows to modern notebooks and building GitLab CI/CD pipelines—with a strong background in analytics visualization and enterprise reporting. Matt has led developer enablement efforts that scaled user adoption dramatically, from growing program enrollments and developer communities to authoring SDKs and tutorial content that lowered barriers for integrators. Comfortable at the intersection of product, ops, and education, he has translated developer feedback into roadmap priorities and mentored teams to adopt reproducible, scalable practices. Based in Lawrence, Kansas, he’s a Python enthusiast and LLM hobbyist who enjoys turning academic and institutional data into practical, production-ready solutions.
11 years of coding experience
10 years of employment as a software developer
Master of Science - MS Applied Statistics & Analytics, Master of Science - MS Applied Statistics & Analytics at University of Kansas Medical Center
BS Computer Science, BS Computer Science at Iowa State University
Master of Arts - MA Education, Master of Arts - MA Education at University of Saint Mary
Contributions:19 pushes, 2 branches in 4 years 11 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.