AI Evaluation & Training Projects (Independent)
Evaluated AI-generated text responses for factual accuracy, completeness, reasoning quality, safety, and instruction adherence. Compared and ranked multiple model outputs using structured evaluation frameworks to surface weaknesses. Identified hallucinations, inconsistencies, bias risks, and edge cases impacting model performance. • Accuracy and completeness checks for factual correctness. • Instruction adherence and logical consistency evaluation. • Safety and risk review for user value and compliance. • Prompt design and iterative feedback documentation for model improvement.