Philippe De Meulenaer is a Senior Data Scientist and MLOps-DevOps engineer with eight years of experience deploying Python and PySpark ML models and architecting cloud ML platforms across Azure and AWS. He combines hands-on model deployment on Databricks with infrastructure-as-code (Terraform) to deliver reproducible, production-ready ML workflows for banks and enterprise clients. His background includes senior analytics roles at Swedbank and Danske Bank and recent freelance and consultancy engagements, demonstrating both product-focused delivery and adaptable contracting experience. Philippe holds a PhD in Physical Sciences with research applying Bayesian modelling to Hubble space telescope data, a background that informs his rigorous, data-driven approach to modelling and uncertainty. Comfortable working in international teams, he also publishes technical write-ups on Medium and balances engineering with a longtime passion for stargazing.
8 years of coding experience
13 years of employment as a software developer
Master’s Degree Astronomy and Astrophysics, Master’s Degree Astronomy and Astrophysics at University of Liège
Bachelor’s Degree Physical Sciences, Bachelor’s Degree Physical Sciences at Université de Namur
Doctor of Philosophy (Ph.D.) Physical Sciences, Doctor of Philosophy (Ph.D.) Physical Sciences at Vilniaus universitetas / Vilnius University
Contributions:50 commits, 12 PRs, 41 pushes in 6 days
demo-apppythonflask-appflaskflask-extensions
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