Summary
Fabio Peruzzo is a software engineer with a PhD in Applied Mathematics and seven years of experience building ML-driven products, now at Google after leading AI work at appliedAI. He blends rigorous quantitative research—spanning network theory, bioinformatics and statistical mechanics—with hands-on production engineering in energy disaggregation, forecasting and ML systems. Fabio has specialized in reinforcement learning, diffusion models, multimodal LLMs and data valuation, shipping end-to-end solutions for partners and startups. His academic work on large-scale spatial patterns informs a data-first approach to ecological and behavioral modeling that often surfaces non-obvious structure in noisy signals. Based in Zurich, he pairs deep theoretical grounding with practical skills for scalable, deployable machine learning.
7 years of coding experience
6 years of employment as a software developer
Master's degree, Physics, 110/110 cum laude (Full marks with honours), Master's degree, Physics, 110/110 cum laude (Full marks with honours) at Università degli Studi di Padova
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at University of Leeds
Master's degree, Engineering Mathematics, Master's degree, Engineering Mathematics at University of Bristol
English, Italian, French, German