Epidemic Sound
Carlos Lordelo is a Machine Learning Engineer specializing in Music Information Retrieval (MIR) at Epidemic Sound since May 2022, contributing to advancements in machine learning, audio signal processing, and generative AI models for music tagging and editing. Prior experience includes roles as a Music Technology Researcher at Doremir Music Research AB, developing tools for music source separation and instrument recognition, and as a Master's Degree Student at Laboratório de Sinais, Multimídia e Telecomunicações, focusing on digital audio processing and source separation. Carlos also interned at Halliburton, exploring Distributed Acoustic Sensing technologies, and has a strong foundational background in electronics and computer engineering, holding degrees from prestigious institutions including a PhD from Queen Mary University of London and a Master's degree from COPPE/UFRJ.
This person is not in any teams
This person is not in any offices
Epidemic Sound
11 followers
Epidemic Sound was founded in 2009 with the sole purpose of creating possibilities and benefits around music in all stages – both for the ones who compose it and the ones who use it. We’ve achieved that by collecting music in an ever-growing library, to which you can subscribe for unlimited use or license tracks per second. Both equal music clearance on all platforms, worldwide in perpetuity. Today we have over 25K high-quality tracks at the tip of your fingers. Go ahead and create!