Worked on the arm/ai-ml-emulation-layer-for-vulkan repository, delivering foundational improvements to memory aliasing within the Vulkan emulation layer. Developed a MemoryAliasing class in C++ to manage resource-to-memory mappings, enabling sub-allocations and improving the tracking and correctness of aliased images and tensors in device memory. Focused on low-level programming and memory management, the work enhanced resource utilization and stability by ensuring safer handling of aliased resources. These changes established a more robust infrastructure for future memory optimization and performance enhancements, reflecting a deep understanding of Vulkan’s memory model and the complexities of efficient device memory management in high-performance environments.