Summary
Daniele Caldarini is a Data Scientist and technical lead based in the Greater Rome area with a decade of experience applying machine learning and AI to real-world problems. At SMC he drives R&D efforts across Industry 4.0 predictive maintenance, NLP-driven product improvements, and cognitive search, contributing to the Openk9 project. He combines a formal engineering education (Laurea triennale and magistrale in Ingegneria Informatica from Roma TRE) with hands-on development experience dating back to an early front-end internship building an Angular support portal. Known for bridging research and product delivery, he takes models from prototype to integrated solutions within industrial contexts. His background reflects both breadth—spanning front-end and ML—and a focus on pragmatic, production-ready AI features.
9 years of coding experience
Laurea triennale in Ingegneria Informatica, Ingegneria informatica, Laurea triennale in Ingegneria Informatica, Ingegneria informatica at Università degli studi Roma TRE
English