Summary
Alberto Benincasa is an AI-focused software engineer with nine years of experience building production-ready backend systems and research-grade machine learning solutions from Turin, Italy. He blends hands-on microservices and AWS deployments (notably NestJS/Node.js backends for realtime call-center data and workforce forecasting) with academic research in NER, music emotion recognition, and LSTM-based energy-trading optimization currently under patent consideration. Comfortable both teaching at Politecnico di Torino and shipping commercial platforms, he thrives in collaborative, agile teams while also delivering independently against tight deadlines. Alberto’s work bridges applied research and product engineering—evident in projects like easyRights and Cassina where transformer-based NER turned complex public and cultural documents into actionable summaries. His background shows a consistent pattern of turning cutting-edge ML prototypes into deployable services that solve domain-specific problems.
9 years of coding experience
8 years of employment as a software developer
Laurea Magistrale LM, Data Science, Laurea Magistrale LM, Data Science at Politecnico di Torino