Harrison Kiang is a Machine Learning Engineer 3 in Chicago with 11 years of experience building and hardening production data science systems for enterprise customers. At Crowe he’s driven the scalability, reliability, and security of ML-powered products—helping prepare assets that were sold to a venture-backed buyer—by shipping APIs, Kubernetes/Helm deployments, queuing with Dramatiq and Argo, and robust CI/CD pipelines. He combines deep academic training (MCS and BSECE from UIUC, 4.0 in his master’s) with hands-on DevOps and software engineering, owning everything from FastAPI endpoints to identity integration with Keycloak and Sentry-based observability. Harrison has led testing and load-testing practices that became templates across the Data Science business unit and maintains internal Python tooling and cookiecutter templates to accelerate productionization. He’s comfortable engaging directly with clients on API and OAuth integrations, and has built cross-language support (including an R SDK) to standardize reporting across projects. Practical, detail-oriented, and infrastructure-minded, he specializes in turning research models into maintainable, auditable production services.
11 years of coding experience
7 years of employment as a software developer
High School Diploma, High School Diploma at Hinsdale Central High School
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Harrison Kiang - Machine Learning Engineer 3 at Crowe