CV

Teaching Assistant

Carnegie Mellon University

• Created weekly recitation materials and led sessions for 7 courses: Differential Equations (S22, F22, F24, S26), Intro to Machine Learning (F24, S25), Graduate AI (S26), Algorithm Design & Analysis (F25), Markov Chains (F25), Continuous Time Finance (S23), and Intro to Math Finance (S25)
• Offered one on one support through designing personalized practice problems and exams
• Addressed over 400 student questions and concerns using online Q&A platform

AI Development Intern

Xencio

• Developed predictive analytics pipeline for accounts receivable using machine learning algorithms, improving forecasting accuracy by 25%
• Created an internal chatbot using ChatGLM2, significantly improving data retrieval efficiency
• Researched Nvidia’s CUDA technology for insights to promote cash flow analysis
• Authored insightful monthly reports for an internal AI journal within the company

5th Year MSCS

Carnegie Mellon University

Computer Science

• Trustworthy AI, Generative AI, Randomized Algorithms, AI as a Co-founder
• Master’s Thesis: The Structure of Deception: How LLM Agents Lie, Break Promises, and Exploit Trust in Multi-Agent Settings
• Research Areas: Multi-Agent LLM Systems, AI Safety

BSc

Carnegie Mellon University

Computer Science

• Additional Major in Computational and Applied Mathematics, Minor in Computational Finance
• University and College Honors

Optiver Market Making Game

• 4th place out of 20 teams

IMC Prosperity Trading Competition

• Top 250 out of 13,000+ teams

Mathematical Contest in Modeling

• Top 35% out of 18,000+ teams

Carnegie Mellon University Quantathon

• Top 8 out of 40 teams

83rd Putnam Competition

• Top 25% out of 3,415 participants