AI Conversational Analyst & Adversarial Tester
I conducted adversarial prompt creation and testing on conversational AI models aimed at identifying hallucinations and safety risks. My work focused on improving model robustness, detecting biases, and strengthening safety policy guardrails. I designed and implemented evaluation scenarios to optimize AI response quality and reliability. • Reduced model's Attack Success Rate (ASR) by 35% through systematic red teaming. • Improved dialogue containment and user experience via custom testing workflows. • Performed NLU testing to refine intent recognition across diverse English dialects. • Collaborated on developing fallback mechanisms for edge-case user interactions.