Summary
Ahmed Ghorbel is a software engineer based in Toulouse with 8 years of experience specializing in Python and AWS-driven production systems and applied AI. He has a solid academic foundation—a Master’s in Artificial Intelligence from Université Paul Sabatier and an engineering degree (top of class) in Data Engineering and Decision Systems—recognized by a Presidential Prize for academic excellence. At Capgemini he has built scalable data pipelines, optimized RAG-based GenAI systems (reducing hallucinations by ~20% and improving contextual accuracy by ~15%), and delivered end-to-end web and cloud solutions across earth observation, aerospace, and dataspace projects. He blends hands-on ML model fine-tuning, prompt engineering and LLM monitoring with pragmatic software practices like pytest and CI/CD to keep models explainable and maintainable. Comfortable across the stack (backend, frontend, cloud) and experienced as a Scrum facilitator, he focuses on making large, messy datasets usable and trustworthy for real-world decision-making. He’s curious and self-aware—his GitHub bio admits he’s still learning, a mindset that drives continuous improvement in both research and production settings.
8 years of coding experience