Carsten Van Weelden

Lead Machine Learning Engineer at Pacmed

Amsterdam, North Holland, Netherlands
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Summary

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Senior
🎓
Top School
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.
code14 years of coding experience
job8 years of employment as a software developer
bookM.Sc. Artificial Intelligence, M.Sc. Artificial Intelligence at University of Amsterdam
languagesEnglish, Dutch
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255reputation
13kreached
2answers
2questions
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Github Skills (37)

python10
data-science10
data-manipulation10
dataframes10
pandas10
manipulation10
data-structures10
frame10
data-analysis10
machine-learning9
tensorflow9
deep-learning9
kinect8
pytorch8
neural-network8

Programming languages (3)

C#C++Python

Github contributions (5)

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cvanweelden/pandas

Jun 2020 - Jun 2020

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Contributions:12 pushes, 4 branches in 7 days
pythondatalabeled-datamanipulationdataframes
cvanweelden/plot-trec_eval

Nov 2012 - Nov 2012

Contributions:9 commits in 13 days
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Carsten Van Weelden - Lead Machine Learning Engineer at Pacmed