- Product/ML Engineer @ CodeRabbit
- AI evaluation: Built a framework across 100+ repositories, cutting experiment setup time by 70%. Added transactional BigQuery pipelines for 3K+ experiments with validation and static analysis.
- Benchmark data: Built an AI-powered platform that mines real bugs from merged open-source pull requests, producing higher-quality evaluation datasets. Analyzed thousands of AI review outputs to uncover failure modes and guide model and product improvements.
- Sandboxed tooling: Enabled secure analysis and external integrations in isolated environments. Improved context with Valgrind, Clang, golangci-lint, and ESLint, reducing token costs by 40%.
- Slack integrations: Shipped 20+ integrations for CodeRabbit's Agent in Slack, including Jira, Salesforce, Sentry, PagerDuty, Datadog, Notion, HubSpot, and Intercom. Covered OAuth, credentials, runtime authentication, and testing.
- Product platforms: Owned Settings V2 from foundation through general availability and built the frontend for agent learnings on a platform serving 80K+ daily users. Delivered an upgraded command palette, live preview, and clearer settings actions.
- Software Developer @ airfairness
- Claims architecture: Redesigned claims processing to remove bottlenecks, doubling throughput while reducing latency.
- Validation flows: Built frontend and backend data processing with enforced input schemas, reducing errors by 20%.
- Data integrity: Added validation and integrity checks that prevented invalid submissions, improving valid claims by 50%.
- UX and accessibility: Improved the end-to-end claims experience to meet WCAG standards, increasing completion of started claims flows to 75%.
- President + Advisor @ UW Computer Science Club
- Led 70+ students across technical events and club operations while securing $20K+ from sponsors for infrastructure upgrades.
- Director + Council Representative @ UW Mathematics Society
- Represented students in society governance and council.