Summary
Amine 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.
9 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 Polytechnique
Master's degree Signal and Image Processing, Master's degree Signal and Image Processing at Université de Bordeaux
Doctor 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