Thomas is a machine learning engineer at a business and technology consulting firm, Logic20/20, where he helps companies productionize ML models by adopting MLOps practices. He initially came from the statistics and data science side, but has also worked in software and data engineering, searching for lessons from these more mature disciplines for how to create maintainable and scalable software systems. Now, Thomas is passionate about integrating these diverse insights to build robust ML solutions. In his spare time, he enjoys building open-source tools that encode these emerging best practices for MLOps, and for Python development in general.