Maartje De Jonge
Machine Learning Engineer at Dexter Energy Services
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolMaartje De Jonge is a machine learning engineer in Amsterdam with 17 years of software engineering experience and over a decade focused on ML research and productionization. She builds scalable ML services—most recently predicting wind turbine electricity output at Dexter Energy Services—and previously led deployment of document-review ML pipelines and continuous active learning for legal tech at Imprima. Her background blends a PhD in computer software engineering and an MSc in AI, giving her a rare mix of formal-language research, NLP, and practical cloud engineering. She has hands-on expertise across Python ML stacks, Azure serverless deployments, CI/CD and information-retrieval systems, and has shipped robust fragment-detection and clause-parsing models for real-world workflows. Colleagues would note her track record of turning research into reliable production services and improving models continuously in operation.
17 years of coding experience
14 years of employment as a software developer
Master's Degree, Mathematics, Master's Degree, Mathematics at University of UtrechtTU DelftMaster of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at University of AmsterdamVWO, VWO at Barlaeus Gymnasium
Github Skills (4)
spoofax9
sdk6
csharp5
dotnet4
Programming languages (2)
Github contributions (5)
maartje/funda-scraper
Aug 2016 - Jan 2017
Contributions:40 commits, 1 branch in 4 months
maartje/ImageCaptionGeneration
Jun 2018 - Aug 2018
Contributions:129 pushes, 1 branch in 2 months
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