Yliess Hati
Research And Development Engineer at Unify technologies
Courbevoie, Île-de-France, France
Summary
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SeniorYliess Hati is a Research and Development Engineer and Ph.D. candidate specializing in deep learning and human-computer interaction, with nine years of experience building interactive, AI-driven experiences. Based in Courbevoie, France, he blends academic research at De Vinci Innovation Center and hands-on product work at Unify Technologies to move neural models from prototypes toward practical applications. His background includes teaching engineering students, a visiting stint at MIT Media Lab, and industry AI roles, giving him a rare mix of pedagogy, research rigor, and applied engineering. An electronics enthusiast and former game-development student, he often bridges low-level hardware thinking with state-of-the-art neural interfaces to craft engaging user interactions.
9 years of coding experience
Github Skills (31)
generative-adversarial-network10
pool9
playing9
huggingface-transformers9
transformer-architecture9
bayesian-inference8
bayesian8
backpropagation8
maths8
pytorch8
physics7
natural-language-processing7
deep-learning7
machine-learning6
python6
Programming languages (5)
Github contributions (5)
yliess86/Snook
Oct 2020 - Dec 2020
Snook: Augmented Pool Framework for Playful Learning Applications. Learn Maths, RigidBody Physics, and More Playing Pool.
Contributions:79 commits, 1 PR, 63 pushes in 2 months
physicspythonmathspoolmachine-learning
yliess86/BayeFormers
Jun 2020 - Sep 2020
General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like architectures. Compatible with the HuggingFace Transformers models.
Contributions:99 commits, 92 pushes, 1 branch in 2 months
backpropagationbayesianhuggingface-transformerstransformersvariational-inference
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