Mike Williamson is the director of machine learning and data engineering at Tradeshift. Prior to Tradeshift, Mike worked at companies of all sizes, primarily in Silicon Valley, now living in the greater Copenhagen region. He began his career in semiconductor manufacturing and came to love the capability of statistics to deliver experimental success with less effort and cost. He made the jump to data science shortly thereafter, primarily working in SaaS companies. He focused on the “productionizing” of machine learning, elements such as MLOps, Infrastructure as Code, and CI/CD. Mike spent most of his career as an individual contributor, but has spent the last several years as an ML architect, professor, and currently as director of the ML and data engineering team at Tradeshift.