Developed a memory optimization feature for the google/perfetto repository, focusing on efficient trace data handling. Introduced optional zlib compression to the TraceSummaryOutput by adding a new Compression enum and integrating it into the Summarize pipeline, allowing configurable compression through TraceSummaryOutputSpec. This approach reduced peak memory usage and improved data transfer efficiency for large trace workloads. The work leveraged C++ and Python, applying system programming and performance optimization skills to enhance scalability and lay the foundation for future codec support. The implementation addressed storage and transmission challenges, contributing to more efficient processing of extensive trace data within Perfetto’s infrastructure.