Ulas Tekeli has a robust background in Computer Vision and Computer Science, with experience spanning various roles in reputable companies. Ulas began as a Researcher at İzmir Yüksek Teknoloji Enstitüsü from August 2016 to May 2018, focusing on a TUBITAK Project aimed at optimizing camera-trap datasets through advanced techniques such as background subtraction and object detection via deep learning. Following that, Ulas served as a Project Manager and Software Engineer at Dataunitor from May 2019 to March 2020, specializing in software engineering. Currently, Ulas holds the position of Computer Vision Engineer first at Rapsodo, Inc. (March 2020 to June 2025) and now at Syntonym since July 2025. Ulas's educational credentials include a Bachelor's Degree in Computer Engineering from Anadolu University, a Bachelor of Science in Computer Science from Brno University of Technology, and a Master's Degree in Computer Engineering from İzmir Yüksek Teknoloji Enstitüsü.
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