AI & Computer-Vision Engineer
From medical image processing and neural networks to embedded systems — I build intelligent systems that work in the real world.
// ls ./expertise
Pick an area — each section loads its own content.
Neural networks, image classification, object detection, medical imaging.
ESP32, Raspberry Pi, sensors, real-time signal processing.
Linux, Docker, server monitoring, networking & virtualization.
Pentesting, hardening, cryptography basics, CTF challenges.
// featured
A glimpse. Find everything in the project archive.
A minimal, human-readable DSL for describing computer-vision pipelines — with variables, loops, plugins, a linter and a browser-based visual flow editor (35 commands, 253 passing tests).
A computer-vision system for monitoring sterilization processes in a medical and surgical context.
An interactive tool for debugging and visualizing CNNs with Grad-CAM, feature maps and misclassification analysis.
A German-language interactive knowledge hub (Streamlit) with 33+ learning modules across computer vision and AI — from mathematical foundations to transformers, diffusion models and multimodal AI, with live demos.
// ./run_experiment
Computer vision right in your browser — turn on your camera and try.
A real-time push-up counter using pose detection with voice feedback and joint-angle visualization.
TensorFlow.jsReal-time in-browser object detection with spoken announcements.
MediaPipe HandsA piano played with hand gestures — finger detection via MediaPipe.
// tail aktuelles.log
My portfolio has moved — more modern, faster and clearly focused on computer vision & AI.
A small, readable DSL for describing computer-vision pipelines — including a visual editor.
A medical computer-vision system for instrument inspection — our entry to Germany's national AI competition.