Jelle Van Kerkvoorde
Machine Learning Engineer at Achmea
Breda-Tilburg Area Netherlands
Summary
👤
Senior🎓
Top SchoolJelle Van Kerkvoorde is a Machine Learning Engineer with eight years of experience building computer vision and deep learning solutions across medical and life-science imaging and, more recently, insurance analytics. Trained in Biomedical and Medical Engineering, he developed clinically deployed histopathology models at UMC Utrecht and advanced cell and organoid detection pipelines at CytoSMART/Axion, pairing research rigor with production deployment and cloud architecture. At Achmea he now translates biomedical-grade ML practices into the insurance domain to improve processes and customer outcomes. Colleagues know him for bridging domain expertise with practical software engineering—handling sensitive clinical datasets and operationalizing models end-to-end—while contributing to academic projects like spherical CNN-based bone microstructure analysis. Based in the Breda–Tilburg area, he combines a multidisciplinary scientific background with hands-on experience in deploying robust ML systems.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Medical Engineering - Medical imaging track, 7,5, Master's degree, Medical Engineering - Medical imaging track, 7,5 at Eindhoven University of Technology
Github Skills (41)
estate10
python-bindings8
lxml8
scrapy8
scraper8
mls8
image-processing7
computer-vision6
serverless6
event-driven6
python6
feature-detection6
autoscaling6
lottery5
scale5
Programming languages (5)
Github contributions (5)
jellevankerk/hello-world
Mar 2018 - May 2019
this is a test
Contributions:4 PRs, 8 pushes, 3 branches in 1 year 2 months
testingjavascript
jellevankerk/tkinter-annotator
Jan 2021 - Apr 2021
Contributions:16 PRs, 48 pushes, 10 branches in 2 months
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