Nathanย Hubens
Fondateur
Brussels, Belgium
Summary
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Top SchoolNathan Hubens is an AI founder and researcher with 8 years of experience building and compressing neural networks to run efficiently on edge and constrained devices. As founder of FasterAI Labs (WIN4SO-funded), he focuses on democratizing model compression and promoting ecological AI so SMEs can deploy high-quality models without giant GPUs. His background includes applied research internships and a masterโs thesis integrating compressed image-processing networks into iPhone apps, and a PhD-focused trajectory connecting academic rigor with industry needs. At AMD he explored compression for real-time super-resolution in the FSR3 pipeline, blending graphics engineering and ML for resource-limited production systems. Colocated in Brussels, he combines deep technical chops with product-minded tooling to make AI greener and more accessibleโoften prioritizing practical integration over theoretical novelty.
9 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Institut Polytechnique de ParisDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Facultรฉ Polytechnique de Mons - UMONS
French, English, Dutch, Japanese
Stackoverflow
171reputation
15kreached
1answer
9questions
Github Skills (40)
pytorch10
python10
machine-learning10
autoencoder10
model-compression10
keras10
pruning10
fastai10
deep-learning10
segmentation10
gpu10
neural-network10
quantization10
regularization9
image-retrieval9
Programming languages (3)
Github contributions (5)
nathanhubens/Autoencoders
Feb 2018 - Aug 2020
Implementation of simple autoencoders networks with Keras
Contributions:18 commits, 2 PRs, 14 pushes in 2 years 5 months
autoencoderkerasdeep-learningautoencodersneural-networks
nathanhubens/fasterai1
Nov 2019 - Feb 2021
FasterAI: A repository for making smaller and faster models with the FastAI library.
Contributions:38 commits, 2 PRs, 33 pushes in 1 year 2 months
fastaideep-learningpytorchpruningcompression
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