Worked on backend development for the zenml-io/zenml repository, focusing on stabilizing the preset stack registration process. Addressed a bug where component names were not correctly captured during registration, which previously led to data integrity issues and potential downstream errors. The solution involved updating the registration flow to assign the correct component name by referencing component_response.name, ensuring accurate storage and improved traceability. This change was implemented and validated through a targeted code fix using Python, with attention to data handling and registry reliability. The work enhanced the robustness of the stack registration system, supporting more reliable backend operations in ZenML.