Early-career Machine Learning / AI engineer with a background in Computer Science and Physics (M.Sc.). I focus on building and implementing machine learning systems that solve concrete, real-world problems.
- Reinforcement Learning (off-policy learning, replanning)
- Large Language Models and NLP
- Multimodal AI systems
- Robotics and real-world ML deployment
Python, PyTorch, FastAPI, ROS2, Computer Vision, vLLM
Research assistant at FZI Research Center for Information Technology. Working on AI-driven robotics systems including LLM-based services, multimodal perception, and robotic task execution.
- LLM-based robotic task structuring and execution
- Multimodal vision-language components (e.g. Grounded SAM)
- Developed Python-based components and device drivers used within ROS2 robotic workflows.
- Web interface for robotic task configuration (Svelte + YAML workflows)
Reliable and efficient ML systems, especially where learning, perception, and control interact.
Currently seeking entry-level Machine Learning / AI Engineer roles.