Building intelligent systems at the intersection of AI research and software engineering.
I'm an AI/ML engineer with a background in computer science and data science, interested in building intelligent systems that move beyond standalone models toward real-world AI applications.
- 🤖 Worked on AI workflows and multi-agent architectures at Fraunhofer IOSB, including MCP-based systems, Python services, and integration of AI components into research-oriented software environments.
- 🔬 Gained research experience at TU Braunschweig, working on machine learning problems involving non-stationary data and distributional change.
- 📊 My Master's thesis focused on Continuous Normalizing Flows for modeling evolving probability distributions, including end-to-end ML pipelines for training, time-dependent density estimation, experiment tracking, and GPU-based model development.
- 🧠 Interested in Agentic AI, LLMs, RAG, generative AI, deep learning, and ML systems.
- 🛠️ I enjoy working across the full engineering lifecycle — from experimentation and model development to APIs, tooling, testing, deployment, and maintainable Python software.