Summary
Ciro Cavani is a Data Science Specialist with 13 years of experience building large-scale machine learning and personalization systems for high-traffic products in Brazil. Trained as a computer engineer at ITA and pursuing a master's in AI at PUC-Rio, he has driven recommender systems and real-time event pipelines at Globo.com, researched AI at Samsung, and currently applies data science at iFood. He combines research-level algorithm work with production-grade engineering—deploying ensemble recommenders, real-time streaming, and big data infrastructure supporting billions of messages and millions of users. Comfortable across the stack, he also has startup and product leadership experience from founding-stage work in financial analytics, and contributes open-source projects focused on AI, ML and robotics. Less obvious: he blends deep academic training with hands-on optimization for engagement metrics, making him as comfortable tuning models as scaling distributed systems.
13 years of coding experience
8 years of employment as a software developer
Engineer's degree, Computer Engineering, Engineer's degree, Computer Engineering at Instituto Tecnológico de Aeronáutica - ITA
Pontifical Catholic University of Rio de Janeiro