About

I build AI and data systems, working from a background in economics and roughly two decades of running operations where errors are immediate and public.

The economics came first: an M.A. in Finance and Banking and a B.A. in Economics from Charles University in Prague, both with honors, followed by work as an analyst at Erste Group on valuations and a real estate portfolio tender that closed at $160 million.

The operational years came next, at CNN, NBCUniversal, and Czech Television. I launched a business news channel on a $20 million investment, ran augmented reality graphics for an election night broadcast averaging over 18 million viewers, and anchored more than 2,000 hours of live national news. Live broadcast is an unusual place to learn systems design, and a clarifying one. Every workflow either holds under load or fails in front of an audience, which teaches you to care about the failure mode before the feature.

That combination is what I bring to current work. A model is a claim about how something behaves, and the question I keep returning to is whether the claim survives contact with messy data and someone who has to act on it. The PJM grid project processes close to a gigabyte of hourly market, load, interconnection, and geospatial data to rank regional vulnerability. Blackletter parses legal documents where a confident wrong answer is worse than no answer. Both are built so the reasoning can be inspected rather than trusted.

I am currently completing an A.S. in Applied Artificial Intelligence at Miami Dade College with a 4.0 GPA, covering machine learning, natural language processing, computer vision, and cloud infrastructure.

Each project under workis deployed and open to inspection. A running application is a stronger claim than a description of one.