Summary
Oliver Sherouse is an engineering manager with 13 years of experience who bridges public policy and data science to build production-ready analytics and ML platforms. He has led and scaled cross-functional teams—from founding a data engineering group to managing delivery at Happy Returns—driving measurable improvements like a 16% velocity gain and >90% on-time milestone delivery. Technically fluent across Python, AWS serverless, Kubernetes, MLOps (Kubeflow), and data lakes, he has migrated complex microservice stacks with zero downtime and built widely cited policy-facing datasets and NLP toolchains. His background as a regulatory economist and policy analytics lead gives him uncommon domain fluency for product decisions in government, research, and enterprise data products. Based in Cary, NC, he combines hands-on engineering, product ownership, and a track record of turning messy public-sector text into reproducible, impactful data products.
13 years of coding experience
4 years of employment as a software developer
MPP, Public Policy, MPP, Public Policy at Georgetown University
BA, History, Computer Science, BA, History, Computer Science at Duke University