Oguzhan Calikkasap, MSc., is a Deep Learning Software Engineer at Zenseact since November 2022, focusing on multi-task object detection models for deployment in Volvo and Polestar vehicles. Prior experience includes a role as a Computer Vision Research Engineer at Ford Otosan, where Oguzhan developed a LiDAR-based 3D object detection model and a custom data pipeline for autonomous driving perception. During a stint as a Machine Learning Engineer at CERN, Oguzhan created datasets and optimized models for job detection in data extraction processes. Educational qualifications include a Master of Science in Computer Science from Bilkent University and a Bachelor of Science in Electrical and Electronics Engineering from Marmara University, along with an exchange program at Budapest University of Technology and Economics. Additional roles include Teaching Assistant at Bilkent University and internship positions at Bosch and Rohde & Schwarz.
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