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Cagla S. is a Junior Machine Learning Researcher at Promaton, focusing on computer vision tasks related to 3D mesh data for the Prosthetics team. Cagla gained valuable experience as a Graduate Intern at Philips, working on Unsupervised Deep Learning for X-Ray Image Denoising, as part of a Master’s Thesis project. Previous roles include working as a Team Member at FruitPunch AI Eindhoven, a Student Teaching Assistant at Eindhoven University of Technology, and an intern at Lely, where real-time object detection and tracking were developed. Cagla has also held internships in security engineering and machine learning, as well as tutoring experience at Bilkent University. Cagla holds a Master’s degree in Computer Science from Eindhoven University of Technology and a Bachelor's degree from Bilkent University.