🎓 Student of Media Technology at University of Applied Sciences Cologne focusing on 📷 Computer Vision, Deep Learning, Image Processing, Camera Technologie and Video Studio Technologie.
- Deep Learning Frameworks: PyTorch, TensorFlow
- AI Object detection & tracking
- Camera Technologie & Image Processing
- Embedded AI Vision
- HailoRT
- Programming: C++, Python, Java
- Deep Learning Frameworks: PyTorch
- Computer Vision: OpenCV, RealSense SDK, classical filters, feature detection
- Object detection & Tracking: YOLO, DeepSORT, Optical Flow
- Deep Learning: Knowledge of datasets, neural network architectures, training algorithms, and model evaluation
- Embedded / Hardware: Hailo-8, stepper motor control, camera calibration, stereo camera
| Project | Description | Tech |
|---|---|---|
| stereo-autofocus-hailo8-realsense | Real-time autofocus system using stereo depth and AI Object detection | Hailo8, RealSense D455, Python, OpenCV |
| vocabulary-app | Vocabulary learning app with AI speech and dashboard | C++, Qt |
| raw-fotoeditor-cpp-qt-halide | High-performance fotoeditor, raw support, professional workflow | C++, Qt, Halide, OpenMP |
🎯 Next Goals
- Learn TensorFlow and TensorRT
- Optimize real-time vision for edge devices
- Master Computer Vision algorithms
- Integrate vision, AI, and embedded systems for autonomous cameras
