Jasper Ginn is a Field CTO and seasoned data engineer with 11 years’ experience turning complex analytics, ML and MLOps projects into production-ready data products across consultancy and enterprise clients. Based in The Hague, he has led and coached teams at Xebia, designed cloud-native data platforms (Databricks, GCP, Terraform, DBT) and introduced engineering practices like RFC/ADR to improve solution governance. His background spans applied research and industry — from neural networks for protein engineering to forecasting energy demand and RAG-based GenAI prototypes on graph databases — reflecting a rare mix of social-science curiosity and technical rigor. Jasper is also an experienced trainer in reinforcement learning, Bayesian statistics and R, and is known for mentoring junior engineers while managing delivery for large data teams. An interest in history, politics and policy informs his pragmatic approach to data products that need to be interpretable and decision-ready.
11 years of coding experience
9 years of employment as a software developer
Master's degree, Statistical Science (guest student), Master's degree, Statistical Science (guest student) at Leiden University
Master's degree, Methodology & Statistics, Master's degree, Methodology & Statistics at Utrecht University
Master of Science - MS, Pre-masters, Digital Humanities, Master of Science - MS, Pre-masters, Digital Humanities at EPFL
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