Giuseppe Coccia is a seasoned machine learning applied scientist and part-time lecturer specializing in generative models, speech/audio systems, and scalable AI deployments. His eight-year career spans Amazon's Alexa Text-to-Speech, Myrtle.ai, and BMW’s autonomous driving research, where he co-authored papers and contributed to a collision-aware trajectory-prediction patent. He has driven model compression and optimization, achieving more than 90% size reduction with roughly 7% degradation, and advancing distillation, sparsity, quantization, and deployment pipelines. A published researcher, he co-authored papers in ICASSP and INTERSPEECH and collaborated with Jaguar Land Rover on autonomous driving computer vision projects. Based in Cambridge, UK, he currently teaches Advanced ML at UT Austin's McCombs School of Business, merging theoretical rigor with hands-on industry experience to train the next generation of practitioners.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Computer Engineering, 110/110 with honors, Bachelor of Science - BS, Computer Engineering, 110/110 with honors at Università degli Studi del Sannio-Benevento
Master of Science - MS, Data Science, Master of Science - MS, Data Science at EURECOM
Master of Science - MS, Software Engineering, 110/110 with honours, Master of Science - MS, Software Engineering, 110/110 with honours at Politecnico di Torino
Contributions:1 PR, 12 pushes, 5 branches in 4 days
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Giuseppe Coccia - Senior Machine Learning Engineer at Preply