Bavaria, Germany
Staff Robotics Software Engineer with 10+ years of experience designing perception systems for autonomous vehicles. Expert in C++/Python, LiDAR-based obstacle detection, sensor fusion, road modelling and Ai applications. Robotics & Perception: Machine Learning, Artificial Intelligence, Deep Learning, Computer Vision, Slam, Occupancy Grid, Trajectory Planning, Kalman Filters, Probabilistic Methods, Object Tracking and Fusion, Camera, Radar, LiDAR, Intrinsic & Extrinsic Calibration, ROS, CarMaker, Simulation, Dempster-Shafer theory C++: Modern C++, C++14/17, STL, Bazel, CMake, AUTOSAR C++14, CppCoreGuidelines, OpenCV, Eigen, Dear ImGui, Boost, Qt Python: NumPy, TensorFlow, uv, Matplotlib, Jupyter, mypy, Gherkin, ruff Software Development: Windows, Ubuntu, ChatGPT, GitHub, Copilot, Cursor, ComfyUI, CI/CD, GDB, CLion, Visual Studio Code, Agile & Scrum, Test-Driven Development (TDD), Behavior-Driven Development (BDD)
- Developed and deployed geometric point cloud classification techniques for small obstacle detection - Designed and optimized a semantic road model estimation algorithm for automated highway driving - Initiated and led internal knowledge-sharing initiatives, including tech talks and the Engineering Efficiency Group, fostering cross-team learning and process improvements.
Building a Lidar based AEB system
- Software Engineer (C++/Python) for multi-sensor multi object tracking - Scrummaster for the Tracking team
Software development (C++): Sensor based road model for Continental Cruising Chauffeur
Software development (C++): Environment modeling for highly autonomous driving project for Continental.