I translate interesting problems into well-engineered systems. This approach, informed by my Computer Science background from the University of Vienna , has shaped my work across a range of commercial and public-sector challenges. I’ve had the chance to architect systems that turn raw vehicle telemetry into intuitive platforms for Magna , and develop 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.
This focus on system-building now drives my work at the frontier of agentic AI and visual data analysis. While finishing 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 we can use 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.
This blend of research and practical engineering is central to my current visiting role at MBZUAI in Abu Dhabi. Collaborating with the Human-Computer Interaction department, I design AI systems that assist in visual data analysis that are not only powerful, 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.