Gökberk Gül

Gökberk Gül is a Deep Learning Engineer at Zenseact, specializing in multi-head network training, image segmentation, and monocular depth estimation for autonomous driving vehicles. Previous experience includes roles as a Student Assistant at Fraunhofer IGD, focusing on C++ and Python development for camera calibration and SLAM applications, and at Technische Universität Darmstadt, where Embedded C was utilized. Gökberk also served as a Senior Year Project Engineer and Candidate Engineer at Roketsan, working on Microstrip Patch Array Antenna design and VHDL coding. Early experience includes an internship at Aselsan, implementing communication protocols on FPGA, and tutoring at Bilkent University while completing a Bachelor's degree in Electrical and Electronics Engineering. Gökberk holds a Master's degree in Information and Communication Engineering from Technische Universität Darmstadt.