At Robinhood, I build the LLM platform and agentic financial-assistant infrastructure used across product and internal workflows. I’ve delivered production RAG over financial and portfolio data, improving grounded-answer precision to 91% and citation correctness to 95%.
I ship full-stack AI experiences across Next.js, React, Python, Go, GraphQL, gRPC, PostgreSQL, and Redis. My work has reduced response latency from 2.4 seconds to 1.5 seconds, cut blended inference spend 27%, and improved platform availability to 99.9%.
Previously at Sorare and Lyft, I built real-time intelligence, ranking, recommendation, feature-store, safety, and decisioning systems. I’ve worked with streaming data at scale, ML model serving, experimentation, replay, observability, and reliable operational tooling for consumer and marketplace products.
I also bring experience from Turo and Lime, where I built connected-car access, host operations, rider experiences, vehicle telemetry, and fleet platforms. I enjoy setting technical direction, mentoring engineers, and building practical systems that make complex products faster, safer, and easier to use.
