AI Data Trainer & Evaluator at Handshake – Project Eschor
As part of an AI model improvement initiative, I worked within a structured red-teaming and adversarial evaluation framework designed to identify and correct failure modes in large language model (LLM) outputs. The core objective was to surface incorrect, inconsistent, or vulnerable model behaviors by crafting inputs specifically designed to expose weaknesses in image extraction.