Worked on the tenstorrent/tt-inference-server repository to deliver an observability enhancement for the TT Inference Server, focusing on improving deployment transparency and debugging efficiency. Expanded the run_docker_server function to return detailed Docker container information, including container name, ID, log file path, and service port, which streamlined the server setup process for operations and development teams. Leveraged Python and Docker to implement these backend improvements while maintaining backward compatibility, ensuring existing workflows remained unaffected. This update reduced troubleshooting time for container-related issues and enabled faster onboarding by providing more comprehensive telemetry, reflecting a targeted and practical approach to backend development challenges.