Federico Scozzafava is a Machine Learning Engineer at Apple with a decade of experience specializing in natural language understanding and semantic parsing, currently working on Siri language technologies. He holds a PhD in Natural Language Processing from Sapienza University of Rome and graduated both bachelor’s and master’s degrees summa cum laude (110/110), reflecting strong academic rigor. His research focuses on neural approaches to semantic parsing and word sense disambiguation, bridging cutting-edge NLP research with production-grade voice assistant systems. Federico has a track record of tutoring and teaching Python and NLP courses, plus hands-on research developing multilingual disambiguation systems, which gives him a rare mix of pedagogy and applied R&D. Based in Barcelona, he pairs deep linguistic insight with practical engineering to improve real-world conversational AI. An understated detail: his progression at Apple from IC to Siri Natural Language Engineer to ML Engineer shows rapid advancement in shipping scalable, user-facing language features.
10 years of coding experience
4 years of employment as a software developer
Laurea triennale in Scienze e Tecnologie Informatiche, Informatica, 110/110 magna cum laude, Laurea triennale in Scienze e Tecnologie Informatiche, Informatica, 110/110 magna cum laude at Sapienza Università di Roma
Lisbon Machine Learning School, Lisbon Machine Learning School at Instituto Superior Técnico
Contributions:4 commits, 9 pushes, 1 branch in 2 years 4 months
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Federico Scozzafava - Machine Learning Engineer at Apple