In August 2025, Aarfaian developed a constant folding optimization for the tfl.gather_nd operation in the tensorflow/tensorflow repository. Using C++, MLIR, and TensorFlow, Aarfaian enabled compile-time computation of output shapes and values when gather_nd is called with constant inputs. This approach reduced the runtime workload in TensorFlow Lite by shifting calculations from inference to compilation, directly benefiting edge and mobile deployments where gather_nd is used with constant indices. The work addressed performance bottlenecks for these workloads, resulting in faster and more energy-efficient inference. During this period, Aarfaian focused on feature development and did not address documented bug fixes.