Worked on consolidating regression and stability improvements for the KleidiAI path within the ROCm/onnxruntime repository, focusing on enhancing the reliability of Conv2D operations. Addressed a key bug in the Conv2D implementation by refining LHS indirection cache behavior and expanding regression test coverage, which improved fault detection and downstream model stability. Applied targeted fixes for FP16 split handling as part of broader CPU enablement efforts, and standardized batch naming conventions to align with MLAS tooling. Utilized C++ for development, emphasizing performance optimization and robust unit testing to ensure smoother integration with machine learning workflows and more consistent test outcomes.