Edwin Wenink is a data expert and tech lead with nine years of experience, currently building privacy-aware enterprise Generative AI and RAG systems for NS (Dutch Railways). He combines hands-on machine learning engineering with a strong academic foundation—Master’s in Intelligent Technology (AI) and a Research Master in Philosophy—bringing rare fluency in both technical design and ethical reasoning. At NS he architects GenAI APIs and retrieval pipelines for company documents while maintaining privacy and explainability concerns. His past work includes explainable recommendation research at TNO and operationalizing ethical AI practices and teaching ethics and societal impact of AI at Radboud University. Known for translating philosophical rigor into practical AI policy and developer-facing ethics-by-design solutions, he’s equally comfortable prototyping models and shaping governance.
9 years of coding experience
3 years of employment as a software developer
Master's degree, Intelligent Technology (AI), 8.7, cum laude, Master's degree, Intelligent Technology (AI), 8.7, cum laude at Radboud University
Propedeuse, Artificial Intelligence, cum laude, Propedeuse, Artificial Intelligence, cum laude at Radboud Universiteit Nijmegen
Gymnasium +, Gymnasium + at Thomas a Kempis, Arentheem College
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