I’m a Junior Computer Science student at the University of South Florida with a full-stack foundation anchored in C++, Python, C#, and Java. Through coursework in data structures, algorithms, and artificial intelligence, I’ve developed strong skills in computational problem-solving and systems design. My technical skills lie in modern frameworks, including ASP.NET Core, Flask, and React, allowing me to develop scalable solutions such as a Dockerized RSA cryptography platform, a C++ virtual machine, and data-driven applications that utilize tools such as AWS, TensorFlow, and FAISS. Alongside software engineering and development, I also serve as a Resident Assistant at USF.
At the RARE Lab, my research interests center on augmented reality and humanoid learning. I’m excited by how AR and mixed-reality interfaces can make complex robot behavior more transparent and intuitive to humans, especially when working with humanoid platforms that move and learn in ways we recognize. I want to explore learning algorithms that help humanoid robots adapt to people in real time, using vision, motion, and feedback, to build systems that can teach, assist, and collaborate in everyday spaces.
