Fabio Barbero is a Data Scientist with nine years of hands‑on experience building production ML systems, real‑time backends, and user‑focused full‑stack features across startups and product teams. He has led AI and low‑latency infrastructure for a 3D‑camera bike‑fitting platform—fine‑tuning YOLO keypoint models, optimising video inference, and delivering secure APIs—and shipped end‑to‑end collaborative software at Odoo adopted by thousands. His research on open European rail data produced a reproducible framework for standardisation and trip planning, and his work on Heuristic Sampling in Ludii achieved alpha‑beta/MCTS parity with orders‑of‑magnitude speedups. Comfortable across Python, systems‑level C from his Erasmus exchange, and modern web stacks, Fabio blends pragmatic engineering with careful usability and accessibility decisions. He favours simple, sustainable solutions and brings a values‑driven perspective focused on environmental care and responsible consumption. Currently based in Limburg, Germany, he combines academic AI training with a track record of turning complex algorithms into reliable, interpretable products.
9 years of coding experience
1 year of employment as a software developer
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at Maastricht University
IT-Universitetet i København
European Bacchalaureate, European Bacchalaureate at European School of Brussels I
A LaTeX template for a Master Thesis at Maastricht University according to the guidelines from the language center.
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