Alfredo Zermini
Machine Learning Engineer at Jabra (former)
Copenhagen, Capital Region of Denmark
Summary
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SeniorAlfredo Zermini is an AI engineer specializing in deep learning for audio, music, and speech, blending academic rigor with industry impact. He earned a PhD from the University of Surrey on deep learning for speech separation, grounded in CVSSP's cutting-edge signal processing research. His industry track includes AI audio research at Jabra and a music information retrieval internship at Universal Music Group, where he contributed to signal processing tools and evaluation pipelines. He is currently based in Copenhagen and leads AI engineering at SymphoMe, focusing on music information retrieval for an educational music app. He has hands-on experience with ConvNets, GANs, diffusion models, and speech/signal processing, translating research into production-ready features. With a physics background and cross-border experience across the UK and Denmark, he brings strong analytical rigor and a knack for turning complex data into practical audio technology.
10 years of coding experienceGithub contributions (5)
AlfredoZermini/IEEE_TASLP_submission_Bformat_separation
Dec 2022 - Jan 2023
Contributions:27 pushes, 1 branch in 1 month
AlfredoZermini/IEEE_TASLP_submission_L3DAS22_task1
Dec 2022 - Jan 2023
Contributions:21 pushes, 1 branch in 1 month
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