AI Automation Researcher & Content Evaluator
Evaluated LLM responses using deep analytical matrices, scoring for truthfulness, semantic accuracy, tone, and compliance with complex formatting constraints. Documented failure modes, logical inconsistencies, and visual anomalies, translating observations into quality assurance reports for iterative improvements. Conducted structural prompt tests to identify edge-case limitations and map behavioral shifts across trials. • Rated and scrutinized model generations against truthfulness and semantic accuracy criteria • Classified error types using an error taxonomy log and structured QA documentation • Verified prompt compliance and constraint satisfaction for generated outputs • Produced actionable feedback summaries to support fine-tuning and alignment workflows