I enjoy building AI systems for complex environments where the context is human and messy. I broker FX options at TP ICAP and have built AI/ML tooling that seven brokers on the desk use daily. This has meant translating front-office workflow problems into working systems for liquidity discovery and broker decision support, on flow carrying $1.5K to $2K a week in attributed commission. My other contributions have included order-routing automation and contract-pricing improvements.

I graduated from the University of Wisconsin–Madison with a degree in data science and an economics minor. While I was a student, I co-founded Lokin, a digital hub for student builders we took from zero to 500+ signups in the first months after launch. I am most interested in solutions engineering, technical GTM, and deployment work that combines customer context, commercial judgment, and hands-on building.

Outside of work, I've built an AI reading archive for the problem of reading a lot of digital content and retaining only a fraction of it. The system I have built helps address knowledge comprehension and digital curation. Everything I upload is chunked, embedded, and searchable, and the retrieval feeds a learn engine that generates quizzes and open recall questions graded against the source, chat that cites the pieces it answers from, and a spaced queue that resurfaces relevant knowledge before it fades. And my startup idea-validation system helps me quickly test and evaluate various product ideas, allowing me to filter out weak concepts before investing time.