Snapback Sports
Jun 2026 – Sep 2026AI EngineerNew York, NY
- Built the LLM pipeline that generates trivia questions, with schema validation and prompt caching. Accuracy held above 98% on an 800+ question evaluation set.
- Reduced incorrect questions by grounding generation in sourced sports data (RAG) and adding an LLM-as-judge review step before anything was published.
- Shipped new features and game modes in the Snapback Trivia app (100K+ downloads) using React Native.
- Shipped Snapback Experiences, a gameday planning web platform that handled more than 1,000 concurrent users.
- Built an offline-first iOS app with multi-device sync and session authentication, released to TestFlight for internal beta.
PythonLLMsRAGReact NativeSwift
