My name is Sertan Şentürk. I am a senior machine learning engineer at Deliveroo. I am currently specializing in MLOps, the practice of deploying and maintaining machine learning models in production reliably and efficiently. My current focus is building scalable and generalisable solutions for experiment deployment and model observability.
Previously I worked as a data science lead at Kobalt Music, focusing on researching, developing and productizing music information retrieval applications. My past work involves developing signal processing and machine learning-based methodologies to describe and discover music automatically. Throughout the years, I have worked on creating robust and scalable solutions for a vast number of tasks, such as named entity recognition, audio-score alignment, automatic genre & mode classification, music structure analysis, and audio fingerprinting.
In February 2017, I obtained my PhD in Information and Communication Technologies from the Music Technology Group at Universitat Pompeu Fabra, Spain. I received my MSc. degree in Music Technology from Georgia Institute of Technology, the USA, in 2011, and my BSc. degree in Electrical and Electronics Engineering from Middle East Technical University, Turkey, in 2009. I also completed a four-year, part-time classical guitar program from Hacettepe University Ankara State Conservatory in 2009.
I play classical guitar. I am interested in contemporary electronic music, and I have been part of some electronic music performances, e.g. in laptop orchestras. I also write popular articles about music and technology.
Data Scientist & Machine Learning Engineer
Résumé, Full CV