Mathematical Model Evaluator & AI Research
Evaluated and annotated AI-generated mathematical explanations to ensure correctness and logical coherence. Refined prompts and verified mathematical proofs in AI outputs to improve large language model performance. Cross-referenced results with authoritative sources and provided structured feedback to enhance accuracy and logic. • Analyzed and annotated AI responses in calculus, algebra, and probability • Applied evaluation rubrics for clarity, precision, and logical structure • Used mathematical frameworks to check proofs and factual accuracy • Enhanced model performance and consistency through detailed feedback