AI engineer based in Vienna. I build scientific instruments where the sensor, the firmware, the signal pipeline, and the model all live in the same project.

Hardware-aware AI. I'm most useful when a problem needs someone who can design a PCB, flash a microcontroller, tune a neural network, and ship the whole thing as a product. Some of that in each project.

Current focus areas:

• Scientific instrumentation with integrated AI (microscopy, radio astronomy, sensor arrays)
• Multi-GPU inference infrastructure for local LLM stacks
• Computer vision for biological and medical signals
• Language model efficiency (quantization, parameter-constrained training)

sovereign-ai-stack. Self-hosted local AI stack on a 3-GPU workstation with Ollama, vLLM, API key routing, GPU mutex, and a noVNC web UI. For people who want to own their models and their data.

parameter-golf. Personal case-study of my participation in the OpenAI Model Craft Challenge. Two submissions, 1.2421 and 1.1431 bits per byte on FineWeb, within 0.003 of the March 20 leaderboard top.

AI-Microscope. Computer vision and ML for optical microscopy: autofocus metrics, illumination analysis, specimen classification. Runs a ToupCam camera through a FastAPI backend with a React viewer and real-time WebSocket streaming.

HydrogenEye. Radio astronomy receiver built from a 28-euro RTL-SDR dongle. Detects the 21 cm hydrogen line with roughly 35 dB SNR. Raspberry Pi Zero W + Android app over Wi-Fi.

BioRNG. True random number generation from live fish behavior via computer vision. Entropy validated against the NIST SP 800-90B battery.

VRAM-Pressure-Scheduling. VRAM-aware GPU scheduling for multi-GPU AI workstations: priority preemption, NVLink topology constraints, thermal-aware placement. Six months of production results included.

api-tester-app. Mobile tool for testing and managing API keys across AI inference providers. Works as a PWA and as an Android APK.

AI-Gas-Analyzer. Neural classification of gas mixtures from metal-oxide sensor arrays. Inference on microcontroller hardware.

SO-101-LeRobot-Industrial-Swarm. Multi-arm robotic swarm coordination through a WebSocket bus, built on the Hugging Face LeRobot SO-101 arm.

1420MHz-Feed-Horn. Waveguide feed horn design for 1420 MHz hydrogen line radio astronomy. Pairs with HydrogenEye.

Python, C, C++, Rust when needed, TypeScript for UI, FastAPI and Flask for backends, React for frontends, PyTorch and ONNX for models, Docker for deployment, Linux everywhere.

Hardware side: KiCad for PCBs, STM32 and ESP32 for MCUs, standard bench instrumentation, CNC when needed.

Open an issue on any of my repositories or reach out through the email on my GitHub profile.