Summary
Dimitrios Bountouridis is a data scientist with a PhD in Computer Science and eight years of professional experience applying machine and deep learning across audio, music, NLP and large language models. He combines academic rigor—postdoctoral work on algorithmic bias and recommender systems—with hands-on industrial R&D at Huawei and consultancy experience, bridging research problems and production-ready solutions. Proficient in Python, PyTorch, pandas and Elasticsearch, he also brings practical DevOps and CI/CD sensibilities and a background in PHP/MySQL and audio-focused toolchains. His work uniquely blends music technology roots (MSc in Music Technology and early research in melody extraction and audio fingerprinting) with current interests in fairness and information retrieval, making him effective at turning domain-specific signal processing insights into robust ML systems.
8 years of coding experience
10 years of employment as a software developer
Master of Science (MS), Computing Science, Master of Science (MS), Computing Science at Utrecht University
MSc, Music Technology 2006, MSc, Music Technology 2006 at University of York
B.A, Informatics, B.A, Informatics at Aristoteleio University of Thessaloniki