About Me

Hi! I'm a graduate student at Louisiana State University. I enjoy building AI systems that connect research with real-world impact, especially across machine learning, scientific computing, and applied LLMs. I'm currently pursuing an M.S. in Computer Science and expect to graduate in December 2026.

At Louisiana State University, I work in a computational research group, where I conduct molecular dynamics simulations of polymer and polymer-drug systems using NAMD and GROMACS on high-performance computing (HPC) clusters. My work involves developing graph neural network (GNN) models to predict molecular properties and designing data-driven workflows for scientific discovery. Recently, I applied graph-based representations to predict drug-polymer encapsulation and developed a pipeline to convert raw scientific text into structured data—a contribution we recently submitted for publication.

Prior to graduate school, I was a Software Engineer at Orbbec, where I collaborated with the R&D team to build high-performance prototypes. My responsibilities included developing real-time RGB-D vision pipelines in C++, implementing computer vision features using OpenCV, and leading LLM-powered product integrations. I earned my B.S. in Computer Science from Mississippi State University, where I also conducted research on LTE systems using srsRAN and USRP-based SDR testbeds. I am currently seeking roles in machine learning, computer vision, and applied AI where I can contribute to high-impact projects and continue to grow technically.

If you are hiring or working on interesting AI problems, I would love to connect.