Hi, my name is
I'm a Masters student at Georgia Tech specializing in AI/ML, with experience building scalable backend systems. Currently exploring opportunities in software engineering and machine learning research.
I recently graduated from UT with a degree in Computer Engineering. After spending a year with Voxer as a backend software engineer in downtown Austin, I joined the Georgia Tech master's program with a focus on the AI track.
My interests lie at the intersection of software engineering and machine learning. I enjoy building scalable systems, working with distributed computing frameworks, and applying ML techniques to solve real-world problems.
During my free time, I enjoy playing basketball and chess. I'm always open to tackling new challenges and embracing new opportunities. Feel free to reach out!

Developed and maintained scalable backend systems for real-time communication infrastructure. Worked on distributed systems, API development, and performance optimization in a production environment.
Developed a novel Graph Convolutional Network (GCN) training algorithm similar to Cluster-GCN to predict patient mortality risk from Electronic Health Records. Constructed homogeneous patient graphs by extracting relevant features and exploiting graph clustering structure through node classification.
Senior design project focused on prototyping a federated learning framework that deploys in-network data aggregation. Designed an adaptive routing algorithm to optimize data routing and convergence rate of federated learning systems.
I'm currently looking for software engineering opportunities, particularly in backend systems, ML infrastructure, or distributed computing. Whether you have a question or just want to say hi, I'll try my best to get back to you!
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