Worked on stabilizing parameter handling in the Offloader Utility for the sglang repository, focusing on a targeted bug fix that addressed a typo in the weight loader attribute name. This correction ensured proper functionality of torch.nn.Parameter handling within the offloader module, reducing the risk of misconfiguration and improving runtime reliability. The work involved Python development, debugging, and collaboration through Git commits and pull requests, with integration into continuous integration workflows. By eliminating a potential source of error in weight loading, the update enabled safer deployments and more reliable metrics, demonstrating attention to detail in deep learning and machine learning environments.