Rafael Crescenzi is an AI Engineer and educator with 11 years of experience building data-driven products across Finance, Telecom, Energy and Retail, and a track record of shipping both B2B and B2C digital financial solutions. He designs end-to-end data architectures, orchestrates ETL and warehousing for analytics, and deploys production-ready machine learning models, with hands-on work in on-chain analytics and trading strategies for DEXs/CEXs. A Kaggle Master since 2016 and winner of multiple international data mining competitions, he blends academic rigor—holding a Master’s in Data Mining and a PhD track in Computer Science—with practical product delivery. Rafael teaches graduate Data Science and MBA courses at leading Argentine universities and has authored Coursera content, signaling a strong commitment to knowledge transfer alongside engineering. Based in Mar del Plata, he now applies his expertise at ICANotes while remaining open to collaborations at the intersection of AI, blockchain and fintech.
11 years of coding experience
7 years of employment as a software developer
Master’s Degree, Data Mining, 9,35/10, Master’s Degree, Data Mining, 9,35/10 at Universidad Austral, Buenos Aires
Actuary, Economics, Actuary, Economics at University of Buenos Aires
Contributions:10 pushes, 1 branch in 4 years 11 months
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Rafael Crescenzi - AI Engineer at Universidad del CEMA