Summary
Jeffrey Skonhovd is a Data Infrastructure Engineer for Machine Learning with 13 years of experience building production ML systems across capital markets, logistics, and ecommerce. He combines an M.S. in Computer Science (Machine Learning) from Georgia Tech with hands-on platform work at Apple and Shopify, where he built MLOps frameworks, codelabs, and alerting systems for bot detection. Prior roles at FedEx and FHN Financial emphasize his strength in migrating legacy systems to cloud-native data pipelines, feature engineering, and risk/fraud modeling. Comfortable bridging research and production, he has taught graduate ML and authored research-oriented notebooks to explore model improvements. Based in Memphis, he pairs pragmatic engineering with domain expertise in trading, shipping, and ecommerce flows, often focusing on observability and scalable inference. Colleagues rely on him to translate complex ML requirements into auditable, reliable infrastructure.
13 years of coding experience
11 years of employment as a software developer
BS, Computer and Electrical Engineering, Mathematics, BS, Computer and Electrical Engineering, Mathematics at University of Memphis
Master of Science (M.S.), Computer Science - Machine Learning, Master of Science (M.S.), Computer Science - Machine Learning at Georgia Institute of Technology