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Kaan Yilmaz is a Deep Learning Engineer at Zenseact since November 2021, specializing in camera-based object detection algorithms for unsupervised autonomous driving and ADAS applications, alongside backend solutions for KPI evaluation and monitoring. Previous roles include Software Developer at Zenseact, where localization and road estimation algorithms were developed, and Software Developer at Volvo Cars, focusing on safety-critical sensor fusion, ultrasonic perception modules, and computer graphics algorithms for NVIDIA’s compute platforms. Kaan Yilmaz has also contributed as a Deep Learning Engineer at Volvo Cars, developing proof of concept projects and optimizing inference pipelines. The educational background includes a Master's degree in Complex Adaptive Systems from Chalmers University of Technology and a Bachelor's degree in Mechanical Engineering from Yeditepe University.