Worked on the NVIDIA/NeMo-Run repository to enhance experiment management workflows by implementing robust handling for missing experiments and improving user feedback mechanisms. Leveraged Python and Jupyter Notebooks to update the hello_world.ipynb example, making execution counts and outputs more explicit for users. Focused on CLI development to refine logic that prevents errors when experiments are not found, thereby increasing the reliability and stability of the tool. These changes aimed to streamline onboarding for new users and reduce ongoing support needs, reflecting a thoughtful approach to usability and error prevention within the experiment management and command-line interface components of the project.