Lorenzo Meninato is a software engineer with 8 years of experience combining data science, financial modeling, and production engineering, currently building systems at Google after roles at Bloomberg and internships at Stripe and Square. He holds an MS in Computer Science from NYU Courant and a BS in Economics from Haverford, and has a strong background in R/C++/Python/SQL applied to stress-testing and time-series models at the Federal Reserve Bank of New York. Lorenzo has a track record of performance optimization (e.g., accelerating C++ model runs from minutes to seconds via Rcpp) and end-to-end delivery, including R Shiny visualization, NLP experiments, and CI/tooling improvements. Based in New York, he blends quantitative rigor from finance with practical software engineering, and is active in large-scale SWE environments (GitHub: swe @ google).
8 years of coding experience
5 years of employment as a software developer
Central High School
Master of Science - MS Computer Science, Master of Science - MS Computer Science at New York University
Bachelor of Science - BS Economics, Bachelor of Science - BS Economics at Haverford College
Statistics, Statistics at University of Pennsylvania
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