Fei Zheng enhanced profiling accuracy in the ROCm/rocprofiler-compute repository by addressing a key bug in the calculation of PoP of VALU Active Threads. He updated the implementation to dynamically set the peak value based on wave_size, replacing the previous fixed value, and revised normalization to reflect the average number of active threads per wave. This adjustment ensures more accurate performance representation for users analyzing VALU workloads. Fei applied his expertise in compute profiling, performance analysis, and system configuration, utilizing Python and YAML to deliver a targeted fix that improves the fidelity of profiling data and informs optimization decisions.