• Mentored 12 students across 3 research projects

• Measuring Legal Cognitive Bias in Large Language Models

• Semantic Spillway to Balance Improving Factual Accuracy with Computational Demand in LLMs

• Theory of Mind Reasoning in Fantasy Sports Negotiations

• Developed production ready software enabling data collection and analysis for 6 physical sensors.

• Performed research into adversarial image attacks against Vision-language models (VLMs) to contribute towards model security.

• Began development of an AI model to help detect irregularities in processing 300+ real-time data points per second.

• Led and managed a team of 9 undergraduate student interns on a cross-platform software development project.

• Designed a project workflow guide and coordinated clear communication between sub-teams to promote smooth and efficient development.

• Authored 12 pages of comprehensive technical documentation detailing system architecture, project workflows, and best practices.

• Modified the existing codebase to adopt SwiftUI allowing for significantly more powerful UI development and improved scalability.

• Implemented algorithmic and thread level optimizations improving data analysis performance by over 100%.