I am pursuing a BS and MS in Computer Science at Vanderbilt University, with an additional major in Applied Mathematics. I will graduate in December 2025 with both degrees through the accelerated master's program.
For my MS thesis, I am advised by Dr. Forrest Laine in the VAMPIR Lab. Previously, I was a software engineer intern at Amazon. My interests include Machine Learning, Computational Game Theory, and Distributed Systems.
A refinement of CLIP embeddings on the Hateful Memes dataset by retraining penultimate layers with contrastive and sliced-Wasserstein objectives, improving semantic separability while maintaining zero-shot generalization.
An exploration of kernel combinations in a Sparse Gaussian Process framework to forecast web traffic data, optimizing scalability using inducing points and ELBO maximization.
A cloud-based system that explores scheduling strategies for task distribution and resource management to efficiently integrate Vision-Language Models for generating accurate and context-rich image captions in real-time.
A productivity tool designed for project teams to streamline workflows, enhance collaboration, and maximize efficiency.
An Autonomous Vehicle Taxi system combining localization, routing, motion planning, and perception algorithms to navigate a simuated city.
Grants-Self-Service System uses LLMs and RAG techniques to streamline Vanderbilt University's grant applications, providing quick access to prior grant data securely
A modern flashcard application designed for efficient learning and content management with adaptive study sessions.
You can contact me from any of the social links provided above.