Developed a proof-of-concept for managed string storage in heap profiling within the DataDog/dd-trace-rb repository, focusing on optimizing memory usage and profiling performance. The work involved refactoring heap records and stack frames to replace direct string pointers with integer IDs, laying the foundation for reduced memory footprint and improved throughput in profiling operations. Leveraging C programming, data structures, and memory management expertise, the developer validated this approach within the codebase and prepared it for future integration into the profiling pipeline. The project demonstrated a methodical approach to profiling challenges, emphasizing maintainability and efficiency in the handling of heap profiling data.