Wiljan Cools is a Belgian data scientist and entrepreneur with four years of hands-on experience building and scaling AI-driven products and data platforms. He co-founded NannyML to monitor ML performance in production and has led data observability and end-to-end ML workstreams across startups and enterprise settings, from architecting AWS-based automated prediction pipelines to shipping production recommender and churn models. Equally comfortable in code and boardroom, he translates complex models into clear business decisions and has a track record of mentoring teams, hiring, and leading product strategy. Wiljan combines pragmatic engineering (four years of Python, custom tooling and SageMaker/S3/Step Functions automation) with a competitive drive evidenced by winning a major crop-classification challenge by rethinking the problem. He’s curious about real-time perception systems too—having prototyped radar-based object detection for autonomous sailing—bringing a blend of applied research and product focus to data problems.
4 years of coding experience
8 years of employment as a software developer
Master of Science in Applied Economic Sciences: Business Engineering, Master of Science in Applied Economic Sciences: Business Engineering at University of Antwerp
Summer Exchange Program, Summer Exchange Program at Georgetown University
Science & Mathematics, Science & Mathematics at Klein Seminarie Hoogstraten
Scale-up Masterclass Business/Commerce General, Scale-up Masterclass Business/Commerce General at Vlerick Business School
Contributions:3 commits, 1 PR, 3 pushes in 4 months
data-sciencepythonmachine-learningmlmlops
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