Worked on the apache/singa repository to update the naming convention of the CNN malaria model, renaming it to MalariaNet and revising the associated training script for consistency. This model refactoring effort improved clarity and maintainability within healthcare demonstration pipelines, making the training workflow more predictable and accessible for new contributors. The work involved disciplined use of Python for scripting and careful management of version control to ensure seamless integration. By aligning model names with project standards, the update enhanced the organization of healthcare examples and contributed to more reliable machine learning training processes without introducing new bugs during the period.