Rani contributed to the kietmcaproject/AI_AI101B_2024-25 repository by developing and packaging essential documentation and data assets to support the AI Salary Analysis and SalarySync initiatives. Focusing on repository hygiene and asset management, Rani delivered PDF documentation and binary artifacts, including a SalarySync test dataset, to streamline onboarding and enable repeatable validation scenarios. The work emphasized stability by avoiding code changes, instead leveraging Git for artifact versioning and repository organization. Using skills in asset packaging, binary data management, and documentation workflows, Rani improved project readiness for analysis and testing, though the scope was limited to non-code contributions over the two-month period.