I enjoy building meaningful and impactful solutions to real-world problems and learning along the way!
I'm a Computer Science student at Arizona State University, currently working toward my accelerated
master's degree. I love solving problems, learning new things, and building tech that makes a real impact.
I've had a chance to explore research and projects in reinforcement learning and machine learning. These along with internship, and teaching assistant experiences
have helped shape my passion for tech and growth.
Outside of work, I enjoy painting, hiking, photography, and taking long drives. I'm always looking for ways to grow - whether that's through creative outlets,
tackling unfamiliar challenges, or stepping outside my comfort zone. I believe in continuous learning and am always open to opportunities that push me forward in my career.
React-native full stack mobile application that allows users to upload or capture picture, and view freshness analyses. Leveraged Gemini API to integrate an LLM in our app to perform the freshness analysis, give the user recommendations, and detailed recipes. Won "Best use of Gemini-API" award!
This project uses an auction-based path-finding heuristic within an RL framework. It is suited to TSP, as it computes paths without enumerating all subtours.
A React Native app that uses voice and text input to generate quick, simple, and slightly elevated recipes. Powered by an on-device LLaMA 3 model via ExecuTorch, it delivers easy-to-follow recipes with helpful gourmet tips.
IOS App that helps you log your mood, emotions, and check history/patterns over time. Built using Swift. Has long term storage of data using Firebase(FireStore)
Educational web app (using C#, ASP.NET) to expose middle school students to technology and spark interest in the field.
Web application that matches students for collaborative studying, with a Python and Flask-based matching algorithm. Built an interactive frontend with HTML, CSS, and Bootstrap.