During March 2026, contributed to the BerriAI/litellm repository by developing a guardrail-driven reliability enhancement for CrowdStrike AIDR. This work focused on building the AIDR Guardrail Hook, which improves AI response handling and prevents duplicate events, thereby increasing operational resilience and reducing noise in incident workflows. The implementation involved secure AI integration and robust API development, with careful attention to documentation and testing throughout the process. Using Python as the primary language, the developer ensured traceability and maintainability by linking changes to specific commits. The feature addressed a clear operational need, demonstrating depth in both technical execution and workflow impact.