Developed and integrated a Real-Time Rule Evaluation Field for the sift-stack/sift repository, enabling live data assessment and accelerating rule-driven decision processes for client applications. Leveraged Python for backend and API development, updating core data models and expanding unit test coverage to ensure reliability and maintainability. The implementation focused on enhancing client-side rule management by supporting real-time evaluation, which reduced latency in rule decision flows. No major bugs were addressed during this period, but minor issues were identified and triaged for future sprints. The work demonstrated a methodical approach to feature delivery and reinforced the robustness of the existing codebase.