Federico Rossetto is a co-founder and Chief Architect with a decade of engineering experience, currently building deployment infrastructure for distilled small language models at Malted AI. Pursuing a PhD in Multimodal AI for Music Information Retrieval at the University of Glasgow, he blends cutting-edge research in music representations with hands-on production ML systems. He previously led engineering at Malted AI and has a track record of competitive wins—coaching the Amazon Alexa Prize Taskbot champion team and leading the Fujitsu AI-NLP Challenge victors. Comfortable both as a gamer and machine learning enthusiast, Federico pairs deep academic rigor from Pisa and Padova with practical startup execution in Edinburgh. Notably, he focuses on bridging multimodal research prototypes to scalable, deployable model training and distillation pipelines.
10 years of coding experience
3 years of employment as a software developer
Laurea triennale Computer Science, Laurea triennale Computer Science at Università degli Studi di Padova
Doctor of Philosophy - PhD Multimodal AI for Music Information Retrieval, Doctor of Philosophy - PhD Multimodal AI for Music Information Retrieval at University of Glasgow School of Computing Science
Master of Science Computer Science: A.I. Curriculum, Master of Science Computer Science: A.I. Curriculum at Università di Pisa
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