Harmjan De Vries
PHD Candidate
Greater Groningen Area Netherlands
Summary
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Rockstar🎓
Top SchoolHarmjan De Vries is a PhD candidate at Leiden University with four years of industry experience applying machine learning and AI from prototypes to production. He previously worked as an AI Engineer at Intel and built practical data-driven solutions during traineeships and at research institutes, including a high-scoring deep learning project analyzing particle accelerator data. Trained as a physicist (MSc, BSc Groningen), he blends rigorous experimental thinking with software engineering practices to tackle complex data problems. His background spans web scraping, predictive maintenance, and developing ML pipelines and webapps that translate noisy inputs into actionable dashboards. Colleagues value his ability to move between research-grade models and engineering constraints, and he often bridges academia and industry use cases. Based in Leiden, he brings curiosity-driven research instincts to applied AI challenges.
4 years of coding experience
4 years of employment as a software developer
Master of Science - Msc, Physics, Master of Science - Msc, Physics at Rijksuniversiteit Groningen
German, Dutch, English
Github Skills (26)
pytorch10
text-recognition10
anomaly-detection10
image-classification10
incremental-learning10
openmmlab10
machine-learning10
openvino10
super-resolution10
sift10
semi-supervised-learning10
image-segmentation10
deep-learning10
self-supervised-learning10
segmentation10
Programming languages (1)
Github contributions (1)
openvinotoolkit/training_extensions
Dec 2021 - Apr 2022
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Contributions:8 reviews, 42 commits, 21 PRs in 4 months
detectron2siftimage-segmentationface-recognitionoptimization-tools
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