I am an Applied AI engineer in Vienna, focused on retrieval systems, language models, machine learning, and the experiments that make their behavior understandable.
My work moves between system building and research: processing real documents, evaluating retrieval, comparing sequence architectures, and turning difficult model behavior into clear evidence.
Built and evaluated document-grounded AI workflows spanning preprocessing, retrieval, language models, guardrails, and accessible graph descriptions. The internship was extended from six to nine months following strong performance.
Johannes Kepler University Linz
Johannes Kepler University Linz
State what the system can support, what the evidence cannot prove, and where a reconstruction begins.
Choose metrics that expose retrieval quality, class imbalance, uncertainty, or capacity rather than hiding them.
Let people inspect a result directly when a static score would flatten the most important behavior.
Actively looking for Applied AI and LLM opportunities in Vienna or remote across the EU.