Worked on advancing cybersecurity data foundations within the Chameleon-company/MOP-Code repository by integrating the MEDSECURE_AI project, which introduced the KDDTrain+_20Percent.txt dataset for AI model training and testing. Focused on data engineering and machine learning workflows, the approach established reproducible scaffolding for future experimentation in secure AI. Additionally, performed targeted repository cleanup by removing obsolete directories, improving project structure and onboarding readiness. No bug fixes were addressed during this period, as the work concentrated on foundational improvements. Utilized skills in cybersecurity and data engineering, with an emphasis on preparing the repository for scalable, maintainable, and secure AI development cycles.