During January 2025, Anirban Bose focused on stabilizing distributed operations in the pytorch/TensorRT repository by addressing regressions introduced by recent changes. He reverted modifications related to NCCL distributed operations and complex-number handling, restoring the original behavior for distributed calls such as nccl_gather and nccl_reduce_scatter. Using Python and leveraging his expertise in PyTorch, TensorRT, and distributed systems, Anirban simplified the forward pass in PythonTorchTensorRTModule by removing complex-number processing logic. This work ensured correct shape inference for complex numbers, improved compatibility with downstream models, and reduced maintenance complexity, reflecting a deep understanding of distributed deep learning workflows.