I help spatial, geospatial, and 3D software vendors put agentic workflows on top of the products and data pipelines they already have - hands-on, from prototype to production.
My own R&D: an agent that edits and queries point clouds in plain English - ninety seconds, no narration. The kind of agentic tooling I build for spatial-software teams.
From unsupervised 3D scene-graph generation to interactive scene manipulation - pairing graph-based point-cloud segmentation with an LLM agent that reasons over a scene and edits it to spec. To be presented at the XXV ISPRS Congress 2026, Toronto.
The Spatial AI Operating System, built together with Dr. Florent Poux. Students build their own AI agent that works with spatial data - hands-on, from first principles to a working pipeline.
View the courseI'm an independent AI engineer based in Germany. I work hands-on - from rapid prototyping to production-oriented system design.
My focus is LLM agents and orchestration, retrieval pipelines, spatial and 3D data reasoning, and the evaluation and observability that keep them reliable. Before AI, I led software and product teams at BMW, Audi, and DriveNow, and ran my own engineering studio, Kawunu, delivering production systems for enterprise and industrial clients across mobility, manufacturing, healthcare, and logistics.
I take on a small number of engineering and R&D engagements at a time. If you build software for spatial, geospatial, or 3D data, get in touch.