Summary
Khalil Meftah is a Machine Learning Research Engineer specializing in robotics and computer vision with nine years of applied experience across industry and open-source. Based in Paris, he moved from building production-ready ML systems for document security and photo-editing features to contributing and leading robotics-focused work at Hugging Face, including a top open-source role on LeRobot. His background blends deep learning, low-level vision, and hands-on engineering—fine-tuning GANs, deploying super-resolution and segmentation pipelines, and shipping REST APIs for model-driven products. Trained at Sorbonne Université and École Nationale Polytechnique, he pairs strong academic foundations with practical solutions that prioritize visual consistency and real-world integration. An understated strength is his ability to bridge prototype research and product-grade implementations, often moving models from Colab experiments into scalable services.
9 years of coding experience
2 years of employment as a software developer
Master 2, Advanced Computer Vision and Image Processing (IMA), Master 2, Advanced Computer Vision and Image Processing (IMA) at Sorbonne Université
Preparatory Cycle, Preparatory Cycle at Ecole Préparatoire en Sciences et Techniques d’Alger
Ibn Toumert high school
Engineer's degree, Electrical and Electronics Engineering, Engineer's degree, Electrical and Electronics Engineering at Ecole Nationale Polytechnique (ENP) - Algeria