Paolo Cumani is an AI engineer with a PhD in Physics and a decade of experience building production-grade NLP and computer vision systems for sensitive, regulated environments. He has designed end-to-end generative AI and RAG platforms—APIs, vector DBs, and chat front- and back-ends—while driving AI strategy, responsible use-case discovery, and cross-functional delivery in the public sector. Paolo’s background in astrophysics and radiation detection research informs a rigorous experimental approach to modeling, simulation, and uncertainty estimation that elevates ML reliability in production. Technically fluent in Python, PyTorch, Hugging Face, FastAPI, Docker and cloud deployments (OVH/AWS), he combines hands-on model development with API engineering and DevOps practices. Comfortable in both research and product contexts, he has a track record of converting complex scientific problems into practical, auditable software solutions.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Università degli Studi di Trieste
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.