Worked on modularizing the TRAP log parser within the Samsung/TizenRT repository, focusing on improving maintainability and streamlining log analysis workflows. Refactored the existing Python codebase by separating log preprocessing and utility functions into dedicated modules, which reduced code duplication and enabled easier future enhancements. Applied modular programming principles to split large functions into smaller, more manageable units, enhancing both testability and code clarity. The work leveraged Python scripting and log analysis expertise to reorganize the parser’s structure, resulting in a clearer, well-documented commit history and a more robust foundation for ongoing development of TRAP tooling and related features.