Computational Mathematics Problem Designer – AI Research Contributor
Designed and curated computational mathematics problems along with verified Python solutions to be used for training and evaluating large language models. Generated authentic multi-step reasoning tasks in number theory, combinatorics, graph theory, and numerical analysis as high-quality AI training data. Evaluated and reviewed AI-generated mathematical outputs to distinguish accurate results from computational or reasoning errors. • Developed research-grade problem sets for downstream AI research and educational use. • Produced clear, annotated problem statements and solutions for integration into LLM datasets. • Ensured numerical rigor and validity of data used for AI mathematical training. • Contributed directly to improving mathematical reasoning in large language models.