Worked on the tambo-ai/tambo repository to deliver a comprehensive internal refactor of the logging system, focusing on enhancing type safety and log reliability. The project involved replacing the use of the any type with unknown throughout the logger, reducing the risk of runtime errors and improving maintainability. A new utility, stringifyMessage, was introduced to robustly serialize a wide range of log payloads, including errors and unserializable objects, ensuring consistent and readable log output. Leveraging TypeScript and backend development skills, this work improved observability, reduced debugging friction, and established a foundation for future structured logging improvements within the codebase.