I'm a data scientist at TP ICAP and build AI/ML tools for financial brokers. This means translating front-office workflow problems into working systems for liquidity discovery and broker decision support. My other contributions have included order-routing automation and contract-pricing improvements.

I graduated from the University of Wisconsin, Madison where I studied Data Science and Economics. As a student, I co-founded Lokin, a digital hub for student builders; we grew it from zero to 500+ signups in the first months after launch. I am most interested in technical deployment strategy work that combines customer context, commercial judgment, and hands-on building.

Outside of work, I've built an AI reading archive that helps address knowledge comprehension and digital curation. Everything I upload is chunked, embedded, and searchable. My startup idea-validation system helps me quickly test and evaluate product ideas, so I can stay up to date with current products and filter out weak concepts before investing time.