Fei Zheng worked on the ROCm/rocprofiler-compute repository, focusing on enhancing the accuracy of compute profiling for VALU workloads. He addressed a key bug in the calculation of PoP of VALU Active Threads by updating the logic to dynamically use wave_size as the peak value, replacing the previous fixed value of 64. This adjustment required careful normalization to reflect the average number of active threads per wave size, resulting in more accurate performance analysis. Fei utilized Python and YAML, applying skills in compute profiling, performance analysis, and system configuration to deliver a targeted fix that improves profiling fidelity for end users.