Koki Ibukuro developed a targeted memory-management enhancement for the TensorFlow Lite GPU path, focusing on enabling 16KB page size alignment within the tensorflow/tensorflow repository. By implementing this feature in C++ and leveraging GPU programming expertise, Koki addressed memory efficiency and performance on compatible hardware. The work involved a production-ready commit that ensured stable deployment of the updated shared library, libtensorflowlite_gpu_gl.so. This contribution set the groundwork for broader performance improvements in TensorFlow Lite’s GPU operations. Although the scope was limited to a single feature over one month, the solution demonstrated technical depth in C++ development and TensorFlow integration.