Summary
Hamza Kabbaj is a Lead Data Scientist based in the Greater Paris area with 10 years of experience building production-ready ML systems, from reinforcement learning for supply chains to time-series forecasting libraries. He progressed through hands-on roles at IRIS by Argon & Co, where he led development of an internal forecasting Python library (ForecastCore), integrated it into Dataiku, and improved client forecasts in the luxury sector. His background in computer vision and 3D modeling—built during internships involving OpenCV, CGAL and Three.js—gives him a rare blend of image-processing, geometric modeling and deep-learning expertise. Comfortable in Agile environments, he combines software engineering practices (CI/CD with Azure DevOps, testing pipelines) with model development and client-facing productization. Notably, he has applied transfer learning and advanced RL techniques (DQN, policy gradients) to real-world problems, demonstrating both research-mindedness and practical impact.
10 years of coding experience
7 years of employment as a software developer
Diplôme d'ingénieur, Machine Learning and Computer Vision, Diplôme d'ingénieur, Machine Learning and Computer Vision at École des Ponts ParisTech
Diplôme d'ingénieur, Génie informatique, Diplôme d'ingénieur, Génie informatique at École Hassania des Travaux Publics - المدرسة الحسنية للأشغال العمومية
French, Arabic, English, Spanish