Worked on enhancing the stability and reliability of the fitting workflow in the IMSA-CMS/CMSAnalysis repository, focusing on C++ development for data analysis and statistical modeling tasks. Addressed a critical bug by refactoring string checks in FitFunction.cc to improve parameter line parsing, which reduced the risk of fit failures and improved code readability. Additionally, removed potentially unsafe assertions in Fitter.cc to prevent runtime errors during model fitting. These changes contributed to more robust and maintainable fitting routines, supporting reliable model training and analysis pipelines. The work demonstrated careful attention to code quality and operational reliability within a complex analysis environment.