Built an AI-powered debugging platform used by 100+ companies, where frontend errors and user events are captured via a Sentry-based script and routed through a custom FastAPI proxy to Kafka for asynchronous processing.
Contributed to the ingestion service (Node.js) that consumes Kafka streams, processes raw error data, enriches it with AI-generated insights, and stores it in PostgreSQL, enabling real-time debugging and analytics.
Developed and maintained key UI modules in the Next.js debugger app, including pages for AI-analyzed issues, user activity logs using PostHog, smart event creation, alert configuration, and third-party integrations with Slack and Linear.
Helped optimize frontend performance and data handling, resulting in smoother UX and faster data retrieval. Overall, these efforts reduced manual debugging time and significantly improved developer visibility into application errors.