Amine Hadj-youcef
Responsable Technique Plateforme Data & IA - Architecte Solutions - ENGIE GBU LEI
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolAmine Hadj-youcef is a data and AI platform leader with nine years of experience bridging advanced R&D in computer vision and signal processing with production-grade Databricks and MLOps at enterprise scale. He holds a PhD in Signal and Image Processing from Université Paris-Saclay and has delivered impactful solutions from JWST hyperspectral reconstruction to real-time fire detection on drone-mounted infrared cameras. At ENGIE he now shapes data & AI platform architecture, having previously led multimillion-euro industrial projects at SNCF Réseau and integrated LLMs and ML pipelines in energy and sustainability contexts. A practiced mentor and trainer, he has guided teams and trained consultants across industry while publishing multiple first-author papers and presenting at international conferences. Notably, his background spans both deep theoretical work (advanced optimization, wavelets, hyperspectral simulators) and hands-on deployment on NVIDIA Jetson and cloud-native Databricks environments, giving him rare end-to-end fluency from research to production.
10 years of coding experience
9 years of employment as a software developer
Engineering degree Electrical and Electronics Engineering, Engineering degree Electrical and Electronics Engineering at Ecole Nationale PolytechniqueMaster's degree Signal and Image Processing, Master's degree Signal and Image Processing at Université de BordeauxDoctor of Philosophy (PhD) Applied Mathematics Signal and Image processing, Doctor of Philosophy (PhD) Applied Mathematics Signal and Image processing at Université Paris-Saclay
English, Arabic, French
Stackoverflow
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Github Skills (90)
fastapi10
python10
json-schema10
ubuntu10
svg10
dockerfile10
streamlit10
reveal-js10
async10
onnx10
api10
rest10
webapp10
computer-vision10
json10
Programming languages (9)
Github contributions (5)
amineHY/AI-LAB
Aug 2019 - Oct 2022
This repository contains a docker image that I use to develop my artificial intelligence applications in an uncomplicated fashion. Python, TensorFlow, PyTorch, ONNX, Keras, OpenCV, TensorRT, Numpy, Jupyter notebook... :whale2::fire:
Contributions:77 commits, 12 PRs, 74 pushes in 3 years 2 months
artificial-intelligencedocker-imagejupyter-notebookkerasnumpy
amineHY/docker-streamlit-app
Dec 2019 - Oct 2022
Run streamlit web application, test and deploy to a cloud service (GCP, AWS, Heroku)
Contributions:10 commits, 8 pushes, 1 branch in 2 years 10 months
awsgcpherokustreamlitpython
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