Worked on the ROCm/pytorch repository to enhance the documentation for the torch.lobpcg function, focusing on improving developer guidance and reducing the risk of misuse. The contribution involved clarifying parameter descriptions and adding critical usage warnings, which helps streamline onboarding and lowers support overhead for scientific computing workflows. Leveraged expertise in Python and technical documentation to ensure that the updated guidance is both accurate and accessible to users. No bug fixes were addressed during this period, with efforts concentrated on feature documentation. The work demonstrates a methodical approach to improving code usability and maintainability within a scientific Python development context.