At Graphicacy, I architected a hybrid data layer combining cached JSON and live GraphQL that serves 50K+ daily requests and improved dashboard load times 5x. I also build responsive data interfaces that make complex datasets legible to non-technical audiences.
I partnered with client stakeholders to turn research and reporting needs into shipped data products. I also spearheaded a CI-triggered documentation pipeline using GitHub Actions and the Anthropic API to keep project documentation current.
At Grassroots Analytics, I built real-time ML prediction infrastructure and extended a large codebase with Go and Python microservices. The data systems handled 10M+ records at 30% lower latency.
At Equator Capital, I developed REST APIs and a React/TypeScript frontend, and built an LLM-powered ingestion pipeline for the USS Sequoia research team. In personal projects, I built a corporate ownership graph covering 65K companies, 38K brands, and 77K products, as well as an algorithmic trading system for prediction markets.
