Nathan Greffe
Computer Vision Software Engineer at EURESYS
Liège, Liège, Belgium
Summary
👤
Senior🎓
Top SchoolNathan Greffe is a Computer Vision Software Engineer with nine years of hands-on experience building and productionizing machine learning systems across vision, NLP, speech and tabular data. At EURESYS he develops and optimizes industrial 2D/3D vision pipelines—barcode decoding, 3D alignment and automatic defect detection—deploying across Windows and Linux on x86 and ARM. He previously built end-to-end predictive pipelines for heterogeneous tabular data and real-time inference on Jetson devices, combining dataset collection, fine-tuning and deployment. Trained at EPFL and the University of Liège with summa cum laude honors, he pairs strong theoretical foundations with low-level systems interest (OS, networking, languages). Curious and pragmatic, he frequently improves existing algorithms to meet client constraints and has a track record of turning research prototypes into robust production solutions.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Engineering, summa cum laude, Bachelor's degree, Engineering, summa cum laude at University of LiègeComputer Science, 5.67/6, Computer Science, 5.67/6 at EPFL (École polytechnique fédérale de Lausanne)
French, English, German
Github Skills (15)
computer-vision10
opencv10
machine-learning10
deep-learning10
python10
image-processing10
ml9
tensorflow9
deep-neural-networks9
neural-network9
usbcamera2
arducam2
depth-estimation2
gpu1
mobile1
Programming languages (3)
Github contributions (5)
NatGr/dc-tts-pytorch
Jun 2020 - Oct 2021
Contributions:11 commits, 9 pushes, 1 branch in 1 year 3 months
NatGr/Master_Thesis
Feb 2019 - Jun 2019
Contributions:118 commits, 105 pushes, 1 branch in 4 months
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