I’m a motivated and curious Computer Science student at the University of Florida, passionate about solving complex problems and building innovative solutions.
This past summer, I was an Associate Software Development Intern at Google, where I engineered and refined LLM propmts to support the future prioritization of ~70,000 daily user feedback submissions, improving recall by 18.5% with a negligible 0.3% precision drop. In a seperate project, I developed a TypeScript URL validator to block invalid image submissions, enhancing data integrity through a feature-flag rollout.
Previously, I interned at the Florida Department of Transportation, where I provided technical support, managed workstation configurations, and contributing to improving overall IT operations. Outside of internships, I’ve built projects like MindMates, a MERN-stack mindfulness app, and No Need to Wait!, a C++ itinerary optimizer for Disney's Magic Kingdom processing over 100,000 rows of real-world wait-time data.
As a Tech Fellow Manager at CodePath I lead a team of Tech Fellows, direct weekly perfomance and meetings, and developed an automation tool to improve program efficiency. I analyze course feedback data to reccomend improvements, collaborate closelt with instructional leadership, and foster an inclusive environment where my team feels supported, motivated, and empowered to succeed.
With the use of an API, user will be able to lookup exersizes by searching them by either name or muscle group and intensity. User will also be able to record excersizes and store them in a database, which will be able to be queried in the future.
For this project, I used SFML library to create the visual display for the game. I also developed the game logic, such as the timer function, shuffle mines, win and lose check algorithm. Additionally, I implemented a leaderboard that saves and displays the top 5 player, including from previous game runs.