Manuel Prandini is a data scientist and machine learning engineer based in Rome with eight years of professional experience and a strong academic foundation from Sapienza University. He has designed and delivered AI solutions in microservices architectures, led small teams to rapid project delivery, and honed stakeholder-facing communication through demos and presentations. His master's research focused on person re-identification using 2D skeletons and advanced deep learning, reflecting a particular strength and passion for computer vision and practical model design. Skilled in Python and common deep learning libraries, he combines research-grade problem solving with production-aware engineering from his roles at CDS (HPE) and now Leonardo. Colleagues describe him as a pragmatic collaborator who translates complex AI concepts into deployable services and clear business value.
8 years of coding experience
3 years of employment as a software developer
High School Diploma IT, High School Diploma IT at ITIS Federico Caffè
Master's Degree Computer Science, Master's Degree Computer Science at Sapienza Università di Roma
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