Worked on the vast-ai/vast-cli repository to deliver enhanced diagnostic and error handling features focused on improving user experience and troubleshooting efficiency. Developed robust runtime and self-test diagnostics using Python, emphasizing backend development and debugging best practices. The work introduced actionable error messages for scenarios such as machine availability issues and port mapping failures, providing users with clear guidance and richer logs for faster resolution. By improving log detail and differentiating failure causes, the changes reduced support friction and increased reliability. The approach demonstrated a quality-focused mindset, leveraging strong collaboration and technical depth in Python and backend error handling methodologies.