I'm pursuing my Masters in Computer Science at Georgia Tech, with a passion for AI/ML theory and algorithms, such as meta-learning methods and neural architecture search. Currently, I’m researching surrogate-guided architecture optimization (paper published at GECCO 2026) at the Automated Algorithm Design team, while developing physics-informed models (PINNs) to approximate simulation engines at GTRI. I've also had the opportunity to build Gen-AI applications and optimize infrastructure at Amazon Web Services.
I'm always eager to explore new approaches and applications in AI and Machine Learning algorithms. Let's connect!
The best way to reach me is via email or LinkedIn:
<first initial><last name>3@gatech.edu
