Summary
Patrick Dalton is an experienced software engineer and manager with 11 years building scalable web, data, and ML-driven systems from Portland, Oregon. He blends hands-on proficiency in Python, Ruby, Java, Go and JavaScript with production expertise in Kubernetes, Helm, Docker, AWS, Kafka and Redis to deliver reliable identity, search, and access-control products. At Checkr he grew and led cross-functional teams that owned core identity and criminal search systems responsible for over half the company’s revenue, and he has incident-command experience across hundreds of production incidents. Now at Lumos he focuses on helping businesses manage access, compliance, and spend across app ecosystems, bringing a rare combination of data engineering, ML tooling (scikit-learn, fast.ai) and full-stack web experience. Colleagues rely on him for systems thinking and pragmatic automation—he’s equally comfortable tuning SQL and Presto queries as iterating on model pipelines or deploying services.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at University of Southern California