Marc Codina is an ML research manager based in the Greater Barcelona area with a trajectory bridging production ML systems and research-driven innovation. He has led machine learning initiatives at Apple following hands-on engineering roles building recommendation engines, computer vision pipelines, and scalable data infrastructure at Vilynx, Trovit and DatKnoSys. Comfortable both architecting big-data platforms (Hadoop, Spark, Presto) and shipping deep learning solutions, he combines systems-level engineering with applied research leadership. His background in music composition and teaching hints at a creative, experimental approach to model design and problem solving. Despite modest years formally listed, his resume reflects continuous progression from research scholar and data engineer to managing ML research at a major tech company.
1 year of coding experience
10 years of employment as a software developer
Master's Degree, Music Theory and Composition, with Distinction, Master's Degree, Music Theory and Composition, with Distinction at The University of Huddersfield
UPC Universitat Politècnica de Catalunya
Bachelor of Music, Composition, Bachelor of Music, Composition at Escola Superior de Música de Catalunya (ESMuC)
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