During August 2025, Octopus13prime developed a memory-optimized feature for the facebookresearch/faiss repository, focusing on the GpuIndexCagra component. They engineered a solution in C++ that reuses existing memory blocks during GPU-to-CPU index conversion, reducing the need for repeated memory allocations and deallocations. This approach improved memory efficiency and throughput, particularly when processing large-scale datasets. By leveraging GPU programming and advanced memory management techniques, Octopus13prime enabled more scalable and performant index conversions within Faiss. The work demonstrated a strong grasp of performance optimization and addressed a concrete business need for handling large datasets efficiently, though it did not involve bug fixes.