Matt Burbidge is a software engineer and team lead with 11 years of experience building data science and data engineering infrastructure, currently enabling production-grade machine learning in the pharmaceutical industry. He combines hands-on implementation in Clojure and Python with cloud-native tooling—Kafka, Docker, Kubernetes, Terraform—on GCP and AWS to deliver scalable ML platforms. At Recursion he progressed from engineer to staff and technical lead roles, designing systems that bridge research and production; he now contributes similar expertise at Enrollsy. Trained in applied and computational mathematics (MS) and applied physics (BS), he brings a quantitative, research-informed approach to engineering decisions. Colleagues know him for turning complex scientific requirements into pragmatic, auditable pipelines and for preferring languages and tooling that favor correctness and operational resilience.
11 years of coding experience
11 years of employment as a software developer
Master of Science, Applied and Computational Mathematics, Master of Science, Applied and Computational Mathematics at University of Washington
Bachelor of Science, Applied Physics, Bachelor of Science, Applied Physics at Brigham Young University
Contributions:34 reviews, 229 commits, 127 PRs in 9 months
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