Riaan Zoetmulder
Machine Learning Research Engineer at Philips
Utrecht, Utrecht, Netherlands
Summary
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Senior🎓
Top SchoolRiaan Zoetmulder is a Machine Learning Research Engineer with 11 years of experience, currently applying deep learning and computer vision expertise at Philips after completing a PhD in medical image analysis. His work centers on developing and deploying segmentation and detection algorithms for stroke and perinatal brain imaging, with several Docker- and Singularity-packed models published to cloud platforms like Grand-Challenge. Comfortable spanning academia and industry, he has taken deliberate time to upskill and recharge—learning to surf during a recent sabbatical—while maintaining a strong focus on transfer learning and clinically relevant model performance. Trained in AI, business economics, and organizational psychology, Riaan brings a rare mix of technical rigor, domain knowledge, and communication skills that help translate research prototypes into production-ready tools.
11 years of coding experience
1 year of employment as a software developer
M.Sc. Business Economics: Finance, M.Sc. Business Economics: Finance at University of Amsterdam - Amsterdam Business SchoolDoctor of Philosophy - PhD Medical Image Analysis/Computer Vision, Doctor of Philosophy - PhD Medical Image Analysis/Computer Vision at University of Amsterdam
Dutch, English, Urdu, German
Stackoverflow
11reputation
6kreached
0answers
4questions
Github Skills (72)
python9
deep-learning9
machine-learning9
tensorflow9
neural-network8
pytorch8
data-science8
dataflow7
bids7
brain-imaging7
portable7
gradient7
ml7
electrophysiology7
dataflow-programming7
Programming languages (5)
Github contributions (5)
RiaanZoetmulder/Master-Thesis
Mar 2017 - Mar 2017
Contributions:30 commits, 46 pushes, 1 branch in 20 days
Ignotus/dsg-final
Sep 2016 - Sep 2016
Contributions:16 commits in 1 day
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