Linwh worked on the LMCache repository, focusing on improving the stability of distributed tensor-parallel deployments. During this period, Linwh addressed a critical runtime crash caused by inconsistent hit token counts across parallel ranks. By implementing robust error handling and defensive logging in Python, Linwh ensured that the system now logs a warning and safely falls back to the minimum hit token count when discrepancies occur. This approach maintained system uptime and predictable behavior under error conditions. The work demonstrated a strong grasp of distributed systems and logging, resulting in improved reliability and availability for LMCache in production environments.