Ludovico Bessi is a Machine Learning Engineer at Google with nine years of experience building large-scale ML systems across abuse detection, YouTube Ads, and YouTube Shopping. He has led technical efforts to deploy Transformer-based multimodal user behavior models to prevent abuse at scale and contributed to recommendation and ad-serving pipelines that optimize user relevance. Trained as a mathematical engineer with a strong optimization and statistics background from Politecnico di Torino, he blends rigorous theory with production-grade software engineering. His early work includes differentiable surrogate models for differential equations (Surrogates.jl) and optimization-accelerating ML tools in Julia, reflecting a continual interest in scientific ML and efficient algorithms. Based in Zurich, he shares technical deep dives on systems-at-scale via his Substack, signaling an active engagement with the research and practitioner communities.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS Mathematical Engineering - Track: Statistics and Optimization, Master of Science - MS Mathematical Engineering - Track: Statistics and Optimization at Politecnico di Torino
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Ludovico Bessi - Machine Learning Engineer at Google