Summary
Paolo Tomeo is an AI & Data Consultant and Agentic Engineer with 11 years of experience building production-ready data platforms, personalization models, and GenAI solutions. He blends rigorous engineering principles from roles at Treatwell, Generali Italia and Agile Lab with research-rooted expertise from a PhD focused on hybrid recommender systems and cold-start problems. Paolo has led cross-functional teams to operationalize ML and agentic workflows, translating experimental research into antifragile, scalable systems. Based in Bari, Italy, he now consults freelance on R&D and long-term collaborations, favoring projects that combine principled engineering with emergent agentic capabilities. A not-often-stated strength is his academic grounding in recommender diversity and graph-based algorithms, which gives him a distinct edge when designing robust personalization and cold-start strategies.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Software Engineering, Doctor of Philosophy - PhD, Computer Software Engineering at Politecnico di Bari
Master's degree, Computer Science, Master's degree, Computer Science at University of Bari, Italy
English, Italian, Spanish