During July 2025, Kim Dhyung focused on optimizing memory usage in the CUBRID/cubrid repository by reducing the memory footprint of the DB_VALUE structure. Working in C++ and leveraging skills in memory management and performance optimization, Kim restructured the 'medium' struct within dbtype_def.h, decreasing its size by 8 bytes. This change improved cache locality and reduced RAM consumption for operations involving large numbers of database values. The work represented a second, iterative attempt at this optimization, reflecting a careful, data-driven engineering process. Kim’s contribution addressed performance bottlenecks in value handling, enhancing the efficiency of memory-intensive database workloads.