Gabriele Gavarini is a Senior AI Research Engineer who designs, builds, and deploys AI solutions across different industries. He holds a Master's degree in Computer Science & Engineering from Politecnico di Milano and spent two years at Politecnico di Torino, where his doctoral research dealt with the reliability and robustness of deep neural networks.
His main areas of work are generative AI, large language models, retrieval-augmented generation, computer vision, and multi-agent conversational systems. Over the years he has built multi-agent, multi-channel automation platforms, LLM-based tools for extracting structured data from documents, and systems for intelligent code remediation, often leading small teams and following projects from the first requirements analysis all the way to production.
Gabriele's research background and engineering practice converge on a common goal: ensuring that AI systems are reliable, robust, and trustworthy — not only under experimental conditions, but in the real-world environments where they are ultimately deployed. This dual perspective allows him to combine scientific rigor with a concrete understanding of what it takes to bring AI into production.
