Willy Tadema

Team Lead Responsible AI at Rijksinspectie Digitale Infrastructuur (RDI)

Groningen, Groningen, Netherlands
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Summary

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Senior
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Top School
Willy Tadema is a seasoned Responsible AI and data science leader with 11+ years of experience shaping ML governance, ethics-by-design, XAI and fairness in the Dutch public sector. Currently Team Lead Responsible AI at Auditdienst Rijk, he combines hands-on R development and MLOps know-how with deep expertise in data integration, data quality, master data management and spatial data engineering. He regularly advises on AI standardisation and ethics across national bodies (NEN, CEN/CENELEC, RDI) and serves on multiple ethics committees, translating legal and human-rights perspectives into practical AI controls. Trained in biometrics, advanced data science and AI law, he bridges technical architecture and policy—helping organisations operationalise auditable, fair ML systems. An often-overlooked strength is his long grounding in information and geospatial architecture, which informs robust, data-centric ML governance for complex public datasets.
code11 years of coding experience
job19 years of employment as a software developer
bookLaw, Ethics and Policy of AI, Law, Ethics and Policy of AI at KU Leuven
bookInternational Human Rights Law, International Human Rights Law at Utrecht University
bookAdvanced Data Science, Advanced Data Science at IT Academy Noord-Nederland
bookMaster of Science (MSc), Agricultural Systems Engineering with a major in Biometrics, Master of Science (MSc), Agricultural Systems Engineering with a major in Biometrics at Wageningen University & Research
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Github Skills (114)

apache-spark10
python10
model-management10
prompt-engineering10
mlops10
mlmodel10
statistics10
mlflow10
ml10
llmops10
ai10
observability10
evaluation10
langchain10
open-source10

Programming languages (12)

TypeScriptJavaRC++SchemeTeXJavaScriptVue

Github contributions (5)

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Contributions:97 commits, 91 pushes, 1 branch in 7 months
Contributions:181 commits, 1 PR, 116 pushes in 23 days
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