Irvin Shen is a software engineer based in Austin with eight years of hands-on experience building data-heavy and ML-adjacent systems. A Mechanical Engineering graduate from UT Austin, he pivoted into software and specializes in automating data pipelines, CI/CD, and packaging/deploying machine learning models at scale. He has shipped production tooling—maintaining the open-source Starpack CLI/API for model packaging and implementing GitHub Actions to publish Docker images and PyPI packages—while improving test coverage and local Kubernetes workflows. At H-E-B and prior roles he’s focused on big data orchestration using Airflow/Cloud Composer and pragmatic internal apps via Google Appsheet. Known for Python-first tooling (and occasional experimental Android apps), he blends infrastructure, developer experience, and applied ML knowledge to move models from prototype to production. Peers value him for turning legacy systems into well-tested, automatable pipelines and for documenting reproducible local dev workflows that accelerate team onboarding.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at The University of Texas at Austin
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