Federico Di Mattia is an AI Strategic Lead with nine years of experience turning research-grade machine learning and computer vision into reliable, production-scale automation for manufacturing. At ZURU he built and scaled the "ZURU AI" ecosystem across multiple global hubs, driving strategy, P&L-aligned roadmaps, and technology transfer from NZ R&D into industrial operations. His hands-on background ranges from high-performance C++ vision pipelines to GANs and graph-based architectures for quality control, with repeated success translating prototypes into robust robotics integrations. He also conceived the "Enabling Team" model to accelerate group-wide AI adoption while balancing rapid GenAI prototyping and enterprise-grade reliability. Based in Emilia-Romagna and pursuing an MBA, he pairs deep engineering expertise with growing business acumen to make AI a measurable business asset. An often-overlooked strength is his track record scaling teams and governance internationally, ensuring AI assets remain both portable and operational across diverse regulatory and manufacturing environments.
9 years of coding experience
6 years of employment as a software developer
Master's degree Ingegneria informatica, Master's degree Ingegneria informatica at Università degli Studi di Modena e Reggio Emilia
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