Carsten Van Weelden is a Lead Machine Learning Engineer based in Amsterdam with 15 years of experience applying ML to real-world products, currently leading development of medical decision support software at Pacmed. He blends hands-on model R&D with cloud engineering—having built Azure platforms that balance product needs, security, regulatory compliance and cost—and progressed internally from data scientist to team lead. Earlier roles at trivago and Textkernel show deep experience in productionizing ML: improving evaluation pipelines, reproducible model delivery on AWS/GCP, and accelerating training through architecture and tooling improvements. He pairs academic rigor from an M.Sc. in Artificial Intelligence with a practical focus on quality, reproducibility and operational scalability, and is known for shaping processes and platform tools that help teams consistently deliver impactful ML systems.
14 years of coding experience
8 years of employment as a software developer
M.Sc. Artificial Intelligence, M.Sc. Artificial Intelligence at University of Amsterdam
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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Carsten Van Weelden - Lead Machine Learning Engineer at Pacmed