Worked on enhancing the reliability of the Agent Orchestration System in the MSDLLCpapers/teal-agents repository, focusing on backend development and API integration using Python. Introduced robust error handling and implemented retry logic with backoff to improve system resilience. Improved initialization processes and expanded logging to increase observability and facilitate faster incident diagnosis. Addressed linting issues and broadened unit test coverage for agent description retrieval, reducing the risk of regressions and supporting maintainability. The work emphasized thorough testing and code quality, resulting in a more stable and scalable orchestration system that supports efficient agent deployments and streamlined troubleshooting.