Computer Vision / Edge AI engineer focused on deploying perception pipelines on real-time embedded hardware, mostly for drones and robotics. I work with object detectors - fine-tuning them, experimenting with different hyperparameters and tracking them to improve performance. Accelerating inference on edge machines using optimization techniques and utilizing accelerators (GPUs).
- Background in UAV sensor systems: object & thermal detection, multispectral imaging, and real-time inference on edge devices
- M.Sc. Mechatronics, Hochschule Ravensburg-Weingarten
- Based in Weingarten, Germany — open to CV / Edge AI / Robotics roles
- Python, C++, PyTorch, YOLO/Ultralytics, CUDA, TensorRT, GStreamer, Docker, ROS/ROS2, OpenCV
- ObjectDetection-DroneImagery — Fine-tuning and experimenting with YOLO for object detection for aerial drone imagery
- ThermalObjectDetection — Fine-tuning and experimenting with models for YOLO-based thermal-camera object detection for edge deployment
- Soccer-Panaroma-Pipeline — C++ soccer panorama-video pipeline
- AutonomousRobot-Turtlebot-Autorace — autonomous navigation with TurtleBot
- IntelligentRobotics-Tiago-ServiceBot — service-robot behaviors on the TIAGo platform
LinkedIn · 📍 Weingarten, Germany