Nils M. K. worked on the ecmwf/anemoi-inference repository, focusing on improving the reliability of the inference runner for single-variable predictions. He addressed a crash that occurred when the system processed single-variable outputs by refining the use of torch.squeeze in the Python-based pipeline. This adjustment preserved the expected 2D output shape, ensuring compatibility with downstream components and preventing unintended dimension collapse. Drawing on his expertise in deep learning and inference, Nils delivered a targeted bug fix that enhanced the stability of the machine learning workflow. His work demonstrated careful attention to system expectations and robust handling of edge cases.