During July 2025, Morelos developed GPU Dynamic Quantization for the Linear Operator within the pytorch/executorch repository, focusing on enabling true integer arithmetic in GPU matrix multiplications to improve throughput and energy efficiency for quantized workloads. The work involved implementing the linear_qta8a_qga4w operator and building a dedicated test framework to validate both correctness and performance, ensuring robust CI-level traceability. Using C++ and leveraging GPU programming and quantization techniques, Morelos prioritized feature delivery and maintainability over bug fixes. This contribution enhanced GPU performance for quantized models and strengthened the validation infrastructure, reflecting a deep understanding of quantization and unit testing.