During November 2025, Steven Fudally developed Unified Memory Architecture (UMA) support for DGX Spark memory management across the ggml-org/ggml and ggml-org/llama.cpp repositories. He enhanced memory utilization by integrating system memory information for CUDA devices and implemented functionality to read available memory from /proc/meminfo on UMA systems. Working primarily in C++ and leveraging his expertise in CUDA and Linux system programming, Steven standardized UMA memory handling across both repositories, ensuring consistent behavior and easier maintenance. He also addressed code quality by performing targeted cleanup and refining CUDA memory allocation, demonstrating a thorough and methodical approach to technical delivery.