Clara Yin
Full-stack software engineer specializing in high-scale systems and applied AI.
about me
I'm passionate about building products for sustainability and public good. My current interests are agentic AI, full-stack development, and exploring how engineers can think like product leaders.
I built a bot to verify order eligibility by using Model Context Protocol and an AI agent to interact with Snowflake databases. I also developed a ML model to predict rebates based on order information.
I work on CEED (Campus Energy Education Dashboard), which uses React and Next.js to display energy data to UC Davis students and faculty. I also optimize data pipelines to extract and stream meter data.
I supported 5 teams of 25+ total engineers in developing products for 40,000+ students, including a club finder and internal member management system.
I worked with a team to build DFAT (Demand Flexibility Assessment Tool), a analyzer that predicts future energy demand.
