Alexandre Fonseca developed a proof-of-concept for managed string storage in the DataDog/dd-trace-rb repository, focusing on optimizing heap profiling. He refactored the handling of strings in heap records and stack frames, replacing direct string pointers with integer IDs to target reductions in memory usage and improve profiling throughput. Working primarily in C, Alexandre applied his skills in data structures and memory management to validate this approach within the codebase, laying the foundation for future integration into the profiling pipeline. The work demonstrated a thoughtful application of profiling techniques and addressed performance bottlenecks through targeted, maintainable engineering solutions.