Summary
Salim Khazem is an AI Research Scientist based in Paris with nine years of experience developing deep learning and computer vision solutions across industry and academia. He holds a PhD in AI and Computer Vision (GeorgiaTech-CNRS & CentraleSupélec) and has transitioned research prototypes into production-grade systems at Talan and Capgemini Engineering, including 6D object pose estimation and aircraft defect detection deployed on GCP. His background spans anomaly detection, EEG transfer learning for BCI, embedded robotics, and mechatronics—evidence of a rare blend of low-level hardware experience and advanced ML modeling. A repeat hackathon winner and former trainer in embedded systems, he pairs experimental rigor with practical deployment skills (PyTorch/TensorFlow, DGX, Docker). Notably, he consistently bridges academic research and industrial application, moving models from benchmark to real-world inference.
8 years of coding experience
4 years of employment as a software developer
Bachelor in Control Engineering Control Engineering and Computer Science , Bachelor in Control Engineering Control Engineering and Computer Science at Université Mouloud Mammeri Tizi-Ouzou
Doctor of Philosophy - PhD Artificial Intelligence | Computer VIsion | Deep learning, Doctor of Philosophy - PhD Artificial Intelligence | Computer VIsion | Deep learning at CentraleSupélec
Master's degree in Computer Science Electical and Electronic Engineering Engineering in computer science Robotics and embedded systems, Master's degree in Computer Science Electical and Electronic Engineering Engineering in computer science Robotics and embedded systems at Université Paris-Saclay
Bachelor in Electrical and Electronic Engineering Engineering , Bachelor in Electrical and Electronic Engineering Engineering at Université Paris-Est Marne-la-Vallée
French, English, Arabic, Berber