Summary
Zeming Yuan is an ADAS software engineer with a nine-year background in autonomous driving, robotics, and algorithm development, currently interning at Momenta in Stuttgart. He combines strong C++ and Python skills with ROS, CUDA, and deep learning expertise to build and deploy LiDAR SLAM, sensor fusion, and real-time perception systems tested in highway and urban scenarios. His master’s thesis delivered a production-grade LiDAR/IMU/GNSS odometry and mapping solution that improved workforce efficiency by 30–50% and was adopted by a top German automaker. Prior roles span CI/CD automation, anomaly detection in metal 3D printing, and applied ML for factory data, showing a consistent focus on turning research prototypes into maintainable, scalable software. Comfortable owning end-to-end development, he pairs solid engineering math and physics foundations with a knack for optimizing algorithms for real-world performance.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE, Mechatronics, Robotics, and Automation Engineering, Bachelor of Engineering - BE, Mechatronics, Robotics, and Automation Engineering at Hochschule Merseburg
Master of Science - MS, Manufacturing Engineering, Master of Science - MS, Manufacturing Engineering at Technische Universität Berlin
English, German, Japanese, Chinese