Pietro Lesci is a PhD student in Computer Science at the University of Cambridge with six years of experience building NLP and ML solutions across research labs, consulting, and industry. He combines hands-on model development—such as efficient dialogue state tracking at AWS AI Labs and large-scale text classifiers at Bain—with rigorous causal and econometrics-inspired methods to study how training choices affect language model behaviour. Comfortable in production workflows (Docker, CI/CD, MLOps, SQL) and research pipelines, he has shipped annotation systems and tooling while publishing reproducible code and web services during his academic work. Based in Cambridge, he brings a rare mix of quantitative economics training, applied data-science consulting, and deep NLP research, and even complements his technical profile with formal musical training in jazz and piano.
6 years of coding experience
3 years of employment as a software developer
Conservatorio di Musica "S. Giacomantonio"
MSc in Economic and Social Sciences, Econometrics and Quantitative Economics, MSc in Economic and Social Sciences, Econometrics and Quantitative Economics at Università Bocconi
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Cambridge
Classical Piano, Classical Piano at Accademia delle Arti Dipartimento Musica
Bsc in Economics and Management, 110/110 summa cum laude, Bsc in Economics and Management, 110/110 summa cum laude at Università Cattolica del Sacro Cuore
Scientific High School, 95/100, Scientific High School, 95/100 at Liceo Scientifico PNI
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