AI Systems
& Data Infrastructure

Most organizations sit on data they either process manually or don't process at all.

Contracts in PDFs, financial filings in legacy formats, regulatory documents across jurisdictions – valuable information maintained by someone, somewhere, or never touched in the first place.

I build the pipelines that take over that work. Extraction, classification, structuring, indexing – end to end, no human in the loop where none is needed. What used to take a team now runs on its own.

The infrastructure depends on the constraints. Data sensitivity, regulation, and cost decide whether that means cloud inference, local models, or hybrid setups that keep sensitive data where it belongs.

The model is usually the easy part. The real work is in validation layers, infrastructure, and the kind of system design that keeps things predictable once they leave the demo environment.

Based in Vienna. Background in Economics (WU Wien), International Management (Bocconi), and Information and Communication Systems (FH Technikum Wien, completed while working full-time).

I work best in small, technically capable teams with short decision cycles – the kind of setup where things actually ship. More on what I build in the Notes section. If any of this sounds relevant, let's talk.