Summary
Xiangyu Tong is a Deep Neural Network Porting Engineer based in Frankfurt with eight years of hands-on experience bridging research-grade models and embedded automotive systems. At MOBIS Parts Europe he progressed from camera specialist work in ADAS, SLAM and embedded backend processing to leading DNN porting efforts, combining C/C++ performance tuning with PyTorch/TensorFlow model adaptation. He brings a practical DevOps mindset—Docker, Kubernetes and IaC—cultivated in research and energy automation projects at RWTH Aachen. A strong competitive programmer (multiple top finishes in Catalysts and Classic contests) he pairs algorithmic rigor with applied machine learning and real-time constraints. Comfortable across languages and stacks (C#, Java/Kotlin, JavaScript, SQL), he often operates at the intersection of computer vision, embedded systems and production deployment. Notably, his background includes HoloLens development and Unity/Unreal experience, giving him a unique edge for sensor-fusion and AR-adjacent prototyping.
8 years of coding experience
Bachelor's degree, Computer Science, 2,2, Bachelor's degree, Computer Science, 2,2 at Technische Universität Chemnitz
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at RWTH Aachen University
学士, 3.0, 学士, 3.0 at China University of Mining and Technology