Summary
Ezgi Yücetürk is a Senior Data Engineer with nine years’ experience building scalable data pipelines, architectures, and AI-ready platforms across industry and research. Trained at Boğaziçi and EPFL (MSc CS with a computational neuroscience minor), she blends applied ML and deep mathematical study of learning methods to tackle text, image, time-series and RL problems — including EEG-based dream detection during her master’s thesis. Her work spans production ETL, data governance and trading-system infrastructure at BASF and Gunvor, as well as open science tooling at CERN (contributions to Zenodo and InvenioRDM). Comfortable shipping end-to-end ML systems, she pairs rigorous research instincts with strong automation, CI and deployment skills to move models from notebook to production. Based in Zurich, she brings a rare combination of domain depth in neuroscience-informed ML and practical engineering for large-scale, operational data platforms.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, 5.15 with minor in Computational Neuroscience, Master of Science - MS, Computer Science, 5.15 with minor in Computational Neuroscience at Ecole polytechnique fédérale de Lausanne
The University of Melbourne
Bachelor of Science - BS, Computer Engineering, 3.47, Bachelor of Science - BS, Computer Engineering, 3.47 at Boğaziçi University
English, Turkish, French, Russian