Summary
Thomas Brouwer is a Resident Solutions Architect and Machine Learning Engineer with 13 years of experience building data platforms and ML solutions across cloud ecosystems (Databricks, Azure, AWS). He blends a scientist’s rigor—holding a PhD-level research background in single-molecule biophysics—with pragmatic engineering: designing modular data architectures, optimizing Delta Live Tables, and cutting storage footprints by orders of magnitude. Comfortable from hands-on model development (CatBoost, XGBoost) to platform design and migration, he has led cloud migrations for banks and proved cost-saving predictive models in life-science manufacturing. A strong communicator and collaborator based in Amsterdam, he enjoys translating complex analytical problems into accessible, production-ready systems and is driven by applying data science for sustainable impact.
13 years of coding experience
9 years of employment as a software developer
Master's Degree Medical Natural Sciences - Physics of Life, Master's Degree Medical Natural Sciences - Physics of Life at Vrije Universiteit Amsterdam (VU Amsterdam)
Dutch, English, German, Spanish