Daniël Van Gelder
Data Engineer
Delft, South Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolDaniël Van Gelder is a Data Engineer with eight years of experience, currently shaping high-quality data pipelines for Adyen’s in-person payments products. He combines a strong academic foundation in computer science and AI from TU Delft with practical experience in real-time systems from a Siemens thesis on passenger load estimation. Comfortable in international environments—having studied at Nanyang Technological University and completed bilingual education—he brings clear communication and cross-cultural fluency to technical teams. His background includes hands-on roles in POS testing, tax technology transformation, and teaching software quality, reflecting versatility across product, analytics, and tooling. Daniël gravitates toward automation, data analytics, and sustainability, and often applies AI techniques to extract operational value from vehicle and payments telemetry. Colleagues would describe him as a pragmatic engineer who pairs rigorous academic training with production-focused delivery.
8 years of coding experience
1 year of employment as a software developer
Exchange Programme, Computer Science, Economics, Chinese Language, Exchange Programme, Computer Science, Economics, Chinese Language at Nanyang Technological UniversityBachelor of Science - BS, Computer Science & Engineering, Bachelor of Science - BS, Computer Science & Engineering at Delft University of TechnologyCAE - Certificate in Advanced English (CEFR Level C1), CAE - Certificate in Advanced English (CEFR Level C1) at University of CambridgeIB Diploma Programme Course, English A Language and Literature, SL, 6/7, IB Diploma Programme Course, English A Language and Literature, SL, 6/7 at International BaccalaureateVWO/Gymnasium - TTO, Middle School, VWO/Gymnasium - TTO, Middle School at PENTA College CSG Jacob van Liesveldt
Dutch, English, German, Chinese, Latin
Github Skills (9)
statistics10
database-testing10
data-science9
data-analysis9
python9
sql9
machine-learning9
test-data9
scikit-learn8
Programming languages (3)
Github contributions (5)
thymerishere/CS4125-Group10
Apr 2021 - Jun 2021
Contributions:33 pushes in 1 month
danielvangelder/texture-vs-shape
Mar 2021 - Apr 2021
Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)
Contributions:27 pushes in 23 days
pytorchiclrimagenetrobustnessshape-bias
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