Developed GPU Dynamic Quantization for the Linear Operator within the pytorch/executorch repository, focusing on enabling true integer arithmetic in GPU matrix multiplications to enhance throughput and energy efficiency for quantized workloads. The work involved implementing the linear_qta8a_qga4w operator and creating a dedicated test framework to validate both correctness and performance, supporting robust unit testing and CI-level traceability. Leveraging C++ development, GPU programming, and quantization techniques, the feature aimed to improve GPU performance for quantized models while strengthening validation and maintainability. The primary focus was on feature delivery and test infrastructure, with no major bug fixes during this period.