Gabriel Castellano is an AI Engineer at CareX.AI, focusing on vital sign estimation through smartphone camera technology and the research and implementation of signal processing and AI algorithms. Prior experience includes a role as a Werkstudent in Data Science at ProSiebenSat.1 Media SE, where Gabriel contributed to software development using natural language processing and video analysis, enhancing named entity recognition services, and automating video content creation. Previous positions include Graduate Research Assistant at the Technical University of Munich, where Gabriel investigated time-series data for autonomous driving, and internships at Siemens Healthineers, Mitacs, and INNOVIX, gaining hands-on experience in medical technology, electromyography, and firmware development. Gabriel holds a Master’s in Neuroengineering from the Technical University of Munich and a Bachelor's in Electrical Engineering from the Universidade de Brasília, with additional study experience at the University of Leeds.
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