Angelo Galavotti is a Generative AI Scientist with eight years of software and research experience, currently working at Prometeia from Imola, Italy. He combines strong practical engineering—C++, Python, CI/CD and low-power edge deployment—with cutting-edge LLM compression techniques developed during a master's research at the University of Bologna, where he implemented multi-stage compression pipelines and modified Hugging Face internals. His background includes improving test coverage and CI workflows at CERN, building OAuth2/X.509 authorization for INFN CNAF, and hands-on hardware/firmware prototyping from earlier maker projects. Angelo has a track record of squeezing high retention from aggressively compressed models (≈60% performance with up to 72% parameter reduction) and automating large-scale evaluation pipelines across dozens of configurations. He focuses on making advanced AI more efficient and accessible, with a knack for adapting research ideas into production-ready tooling.
8 years of coding experience
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Alma Mater Studiorum – Università di Bologna
Liceo Scientifico delle Scienze Applicate "F. Alberghetti"
A repo containing excercises and notes for the "Laboratorio di Sicurezza Informatica" course at UniBo.
Contributions:38 commits, 2 PRs, 22 pushes in 2 months
laboratorionotesinformaticaunibo
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