Yigit Burdurlu is a software engineer based in Munich with 8 years of experience building embedded and perception systems using modern C++ and machine vision toolchains. He has delivered DDS-based record/replay tooling for safety-conscious automotive environments at Luxoft, applying MISRA and AUTOSAR practices to containerized projects. At Pixel Robotics he developed 2D/3D sensor perception pipelines on Nvidia Jetson and amd64 platforms, combining computer vision and ML to solve real-world robotics problems. Early roles in embedded systems and big data gave him practical exposure to STM32, Elasticsearch stacks, and full-stack Java/O SGI work. He holds a Master's in Informatics from TUM and consistently bridges academic rigor with hands-on system engineering. Colleagues describe him as a pragmatic problem-solver who brings low-level discipline to high-level perception solutions.
8 years of coding experience
5 years of employment as a software developer
Master's degree Informatics, Master's degree Informatics at Technical University of Munich
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Hacettepe University
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Düsseldorf
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