Ares expanded hardware support in the pytorch/executorch repository by implementing SA8797 and SA8397 chipset compatibility, focusing on seamless integration with the Qualcomm AI Runtime SDK (V81). Using Python and backend development skills, Ares updated architecture recognition logic and backend documentation to reflect the new hardware capabilities. The work included end-to-end validation by compiling and running AI models on the SA8397 chipset with the QNN SDK, using practical examples such as llama. This feature addressed cross-device compatibility, reducing deployment friction for customers and enabling broader on-device AI use cases. The depth of integration demonstrated strong Qualcomm SDK expertise.