Worked on enhancing graph serialization resilience in the pytorch/pytorch repository by introducing an ignore_raw_node option to the GraphPickler component. This feature, implemented in Python with a focus on backend development and serialization, allows the serialization process to gracefully handle unexpected raw torch.fx.Node references by pickling them as None when necessary. The approach addressed backward-compatibility issues in graphs containing metadata with unconverted Node references, reducing serialization errors in edge-case backward graphs. Comprehensive unit and end-to-end tests were added and integrated into the existing Buck test suite, improving the reliability and stability of model export pipelines for production training and inference.