I translate interesting problems into well-engineered systems. Building on my Computer Science background from the University of Vienna , I have worked across a range of commercial and public-sector challenges. I’ve developed platforms for Magna that help users make sense of raw vehicle telemetry, and architected geospatial frameworks that help public institutions like the City of Vienna and Austrian Bundesministerium to comply with regulations and make data-informed policy decisions. Internally, I’ve led strategic initiatives such as a company-wide tech transition from Node.js to Python at STOIC , navigating the challenges of a fast-paced startup environment.
Today, this system-building focus drives my work at the frontier of agentic AI and visual data analysis. As I complete my Master’s in Data Science at the University of Vienna with my advisors Torsten Möller, Laura Koesten, and Dominik Moritz, I’m exploring how to leverage generative models for data analysis, visualization recommendation, and automated chart critique, building on my contributions to systems like Draco 2 and other open-source libraries.
I’m bringing this blend of research and engineering to my current visiting role at MBZUAI in Abu Dhabi. Collaborating with the Human-Computer Interaction department, I design AI systems for visual data analysis that are not only capable, but also intuitive, explainable, and sustainable. My approach involves developing a hybrid framework that integrates generative techniques with deterministic methods, driven by the principle that even exploratory work benefits from a thoughtful approach to engineering.