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.