Here are a few of my most significant research and development projects, spanning artificial intelligence, education, and sustainability.
Designed a novel method improving LLM math problem-solving accuracy by ~2%. Published research detailing estimation-verification techniques for reliable reasoning in AI. The full paper was accepted to IEEE ICMLA 2025.
Developed an interactive timeline and learning platform on the history of AI — covering key people, events, and papers — used in a graduate AI foundations course.
Built a website exploring social & environmental sustainability in AI, raising awareness of AI’s impact and possible mitigations.
A research analysis on how modern AI tools are transforming math education, including history, challenges, and classroom applications.
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