Adam McDaniel developed GPU power metrics exposure for profiling tools within the ROCm/rocm-systems repository, focusing on enhancing energy-aware performance analysis. He implemented features to expose energy count and current socket power metrics to profilers such as PAPI, enabling more granular monitoring of GPU energy consumption. Adam also updated device dependency maps to accurately reflect GPU metrics dependencies, supporting improved performance optimization workflows. His work leveraged C++ and system programming skills, with an emphasis on performance monitoring. The depth of his contribution lies in integrating low-level hardware metrics into existing profiling infrastructure, facilitating more effective energy and performance analysis for developers.