Francesco Cariaggi is a Senior Speech Applied Scientist based in Amsterdam with eight years of experience building ML-driven speech and deep learning systems. He holds a master's (110 e lode) from the University of Pisa, where his thesis applied Echo State Networks and numerical linear algebra to time series forecasting. Francesco progressed from Android intern and data scientist roles into deep learning engineering, gaining hands-on expertise with TensorFlow, Keras, and production tools like Docker and git. At Pi School and now Omilia he has focused on speech AI, bridging research-readiness—he routinely reads and reviews scientific papers—with practical model deployment. His background across numerics, recurrent models, and software engineering gives him a rare fluency in both algorithmic foundations and production-grade implementation. Colleagues describe him as a “software carver”: precise, pragmatic, and adept at shaping robust ML systems from research prototypes.
8 years of coding experience
6 years of employment as a software developer
Alumnus, Alumnus at Pi School
Master's degree, Informatics, 110 e lode, Master's degree, Informatics, 110 e lode at Università di Pisa
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Francesco Cariaggi - Senior Speech Applied Scientist at Omilia