During March 2025, Daniele Di Lotorres focused on performance optimization for Vulkan backends in the ggml-org/llama.cpp and Mintplex-Labs/whisper.cpp repositories. He developed device-architecture aware subgroup size tuning for AMD RDNA1, RDNA2, and RDNA3 GPUs, targeting matrix operations and compute throughput improvements. Using C++ and the Vulkan API, Daniele’s approach dynamically adjusted subgroup sizes based on detected GPU architecture, enhancing runtime efficiency and hardware utilization for inference workloads. His work demonstrated depth in GPU programming and driver development, providing a consistent, cross-repository solution that improved portability and performance for compute-intensive operations on modern AMD hardware.