Summary
Scott Coyne is a senior lead engineer with a decade of experience designing and shipping full-stack, data-driven systems for both startups and large enterprises from Chicago. At Capital One he led the Personalized Deals Feed from MVP to a multimillion-dollar monthly revenue stream and built the real-time personalization stack using ML techniques ranging from deep learning to multi-armed bandits. He has practical expertise across backend, databases and infra—TypeScript, Cassandra/Postgres, Redis, DBT, containers—and has operationalized LLMs and Transformer-based recommendation models at production scale. Comfortable switching between hands-on coding and technical leadership, Scott also has a research background in ML (IEEE-published work) and a history of inventing applied AI features such as flavor-detection and product-classification systems. Colleagues rely on him to turn ambiguous problems into durable, user-friendly systems that scale.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Marquette University