Summary
Abdoulaye Diop is a data scientist and machine learning engineer based in Toulouse with eight years of experience bridging academic research and practical AI product development. He holds engineering and master's training from ENAC and Toulouse institutions and is pursuing a PhD in artificial intelligence while building generative AI solutions for public services and professional users. At SolutionData Group he led research and production work on predictive models, clustering optimization and RAG/LLM-based chatbots, and now helps modernize administrative and educational services in the Occitanie regional incubator. His background spans reinforcement learning applied to air-traffic conflict resolution, distributed computing optimization, and hands-on deployment with PyTorch, LangChain and FastAPI—demonstrating an ability to move ideas from research to operational systems. Colleagues describe him as equally comfortable publishing at conferences and shipping user-facing AI products that simplify complex domain workflows.
8 years of coding experience
5 years of employment as a software developer
Master's degree in Operational Research Operational Research, Master's degree in Operational Research Operational Research at Université Paul Sabatier Toulouse III
MPSI, MPSI at Lycée F. Ph. Dessaignes
Preparatory Classes to Engineering Schools MP* (Mathematics and Physics), Preparatory Classes to Engineering Schools MP* (Mathematics and Physics) at Lycée Descartes
Diplôme d'ingénieur Informatique, Diplôme d'ingénieur Informatique at ENAC - Ecole Nationale de l'Aviation Civile
PhD Intelligence artificielle, PhD Intelligence artificielle at Université Toulouse - Jean Jaurès