Summary
Michel Blaauw is a seasoned tech lead and data science architect with over a decade of hands-on experience building MLOps platforms, advanced analytics systems, and enterprise-grade data infrastructure across industries from government to retail and aviation. He specializes in translating business problems into scalable technical solutionsโhaving led custom MLOps and Advanced Analytics Platform builds at UWV, fraud and operational analytics at the Dutch Social Insurance Bank, and customer and supply-chain optimizations for KLM, Heineken and Bakker International. Comfortable across the stack, Michel blends Databricks, Kubernetes, MLflow and major cloud providers with NLP, graph models and classical BI to deliver measurable impact. Known as a pragmatic bridge-builder, he pairs technical depth with coaching and organizational change to operationalize data science. An unconventional detail: his early background in microbiology shaped a methodical, experimental mindset that informs his data-led problem solving. Based in Weesp, Netherlands, he currently leads Data Science & AI Platform efforts for KMAR.
12 years of coding experience
23 years of employment as a software developer
High School, High School at HAVO
Associate's Degree Microbiology General, Associate's Degree Microbiology General at Microbiology
Dutch, English, German