• LLM & RLHF Evaluation: Ranking and comparing AI responses for factual accuracy, reasoning, safety, and instruction following • Image Generation QA: Evaluating AI images for realism, prompt adherence, anatomical accuracy, composition, lighting, and bias detection • Data Analysis & Cleaning: Using Python (Pandas), SQL (SELECT, JOIN), and Excel to clean datasets, validate data, and create QA reports • Prompt Evaluation: Identifying hallucinations, inconsistencies, and factual errors across Medical, Legal, Engineering, and Corporate domains