Senior Machine Learning Engineer at New York University Abu Dhabi
Stony Stratford, England, United Kingdom
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Summary
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Senior
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Top School
Sertan Şentürk is a Senior Machine Learning Engineer with 12 years of experience building scalable ML and information-retrieval systems for music and metadata at companies like Deliveroo, Kobalt and SoundCloud. He combines deep academic roots—a PhD in Information and Communication Technologies and music-technology research—with hands-on engineering, having deployed high-precision ElasticSearch and serverless ML lifecycle solutions at scale. His work spans signal processing, automatic music description, fingerprinting and attention-based metadata matching that recovered millions in underreported royalties. An active open-source maintainer, he has contributed bug fixes and algorithmic improvements to the widely used Essentia audio analysis library and published a modular Python toolbox for music analysis. Based in the UK, he also mentors teams and communities through academic consulting and co-organizing the London Audio and Music AI meetup, blending rigorous research with product-focused delivery.
12 years of coding experience
12 years of employment as a software developer
Certificate of Achievement, Classical Guitar, 87.75/100.00, Certificate of Achievement, Classical Guitar, 87.75/100.00 at Hacettepe Üniversitesi
Master’s Degree, Music Technology, 3.64/4.00, Master’s Degree, Music Technology, 3.64/4.00 at Georgia Institute of Technology
Doctor of Philosophy (Ph.D.), Information and Communication Technologies, Doctor of Philosophy (Ph.D.), Information and Communication Technologies at Universitat Pompeu Fabra
Bachelor’s Degree, Electrical and Electronic Engineering, 3.13/4.00, Bachelor’s Degree, Electrical and Electronic Engineering, 3.13/4.00 at Orta Doğu Teknik Üniversitesi / Middle East Technical University
C++ library for audio and music analysis, description and synthesis, including Python bindings
Role in this project:
Back-end Developer
Contributions:8 commits, 4 PRs, 18 comments in 1 year 4 months
Contributions summary:Sertan primarily focused on maintaining and improving the `essentia` C++ library, a core component of the repository. Their contributions included refactoring and bug fixes within the `pitchfilter` algorithm, specifically addressing octave errors and confidence calculations. Additionally, they updated the documentation for the installation process, adding guidance on building Essentia on Windows 10 via Bash on Ubuntu. These changes indicate a focus on algorithmic correctness and platform support.
Contributions:38 commits, 27 pushes, 3 branches in 5 months
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Sertan Şentürk - Senior Machine Learning Engineer at New York University Abu Dhabi