Summary
Blai Catalán is a Senior Software Engineer and industrial PhD in Computer Science with 11 years of experience building high-performance audio and machine learning systems for the music industry. He developed Deep Music Detector, a C++/Python deep-learning pipeline that processes an hour of audio in ~25 seconds and won MIREX in 2018 and 2019, and has led productionization, maintenance and cross-team integration of audio fingerprinting and metadata systems at BMAT. Based in Barcelona, he blends research rigor with production engineering—designing scalable Debian/Docker deployments, Django-based model-training platforms and real-world evaluation datasets that are used by other researchers. Recently focused on R&D roles at Ansys and Synopsys, he brings a rare combination of signal-processing expertise, software optimization and project leadership across publicly funded and commercial initiatives.
11 years of coding experience
9 years of employment as a software developer
Vienna University of Technology
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Universitat Pompeu Fabra
UPC Universitat Politècnica de Catalunya
English, German, Japanese, Catalan, Spanish