Summary
Bas Roelenga is a Lead Machine Learning Engineer with 11 years of experience who transitioned from astrophysics to building production-ready, explainable AI solutions across computer vision, NLP and tabular data. Based in Amsterdam, he has led ML teams and projects at Springer Nature, Slimmer AI and now Enza Zaden, applying rigorous data-analysis instincts from his astronomy background to real-world problems like automated road-feature detection and large-scale publishing workflows. He combines hands-on model development with leadership in deploying responsible, interpretable models and has a track record of moving prototypes into operational systems. A practical scientist at heart, Bas favors approaches that balance explainability and scalability, translating complex signals into actionable business impact.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS Astronomy, Master of Science - MS Astronomy at University of Groningen
Dutch, English, Korean