Giuseppe Coccia is a Senior Machine Learning Engineer with nine years of experience building production-ready AI across speech/audio synthesis, computer vision, and model optimization. He has driven expressive TTS research and scalable distributed data pipelines at Amazon AGI, compressed models by over 90% with minimal accuracy loss at Myrtle.ai, and improved autonomous-driving trajectory prediction at BMW (co-author of a related patent). Giuseppe blends academic rigor—publishing at ICASSP and INTERSPEECH and lecturing Advanced ML at UT Austin—with hands-on engineering skills in generative models, deployment, and LLM-based evaluation. Based in London, he excels at turning cutting-edge research into practical, deployable systems and often leverages synthetic data and LLMs to speed dataset creation and quality assessment.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS Computer Engineering, Bachelor of Science - BS Computer Engineering 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, Master of Science - MS Software Engineering 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