ABOUT
ML engineer. Vienna.
I build computer vision and ML systems that have to work on real hardware under real constraints. Most of my time goes into perception and navigation for drones; alongside that I work on applied LLM tooling and physics-informed neural networks.
Experience
- 2021 — Present
Perception & navigation lead · Flying4Home / ClearBee
Led perception and navigation for a drone platform: classical computer vision, monocular depth, deep learning, sensor fusion, and recovery policies for GPS-denied operation.
- 2025 — Present
Scientific ML research · Independent
Building a reproducible experimentation framework for physics-informed neural networks, studying latent-space manifolds to cover families of under-determined industrial simulations with a single model.
Skills
- ML & vision
- Computer vision, monocular depth, deep learning, PINNs, information extraction
- Robotics & edge
- Sensor fusion, recovery policies, real-time software, constrained hardware
- Languages & tools
- Python, PyTorch, CLI tooling, reproducible training workflows
What I'm looking for
A full-time ML or computer-vision engineering role on a team shipping technically ambitious products, in Vienna or remote within the EU. I'm also happy to talk about early-stage ideas.