> Computer Science & Data Science Student
> Full-stack Developer & AI Researcher
$ I'm a Computer Science and Data Science student at Rutgers University with a passion for full-stack development and artificial intelligence. I'm driven by a love for problem solving and am always eager to learn new technologies.
$ Currently, I'm working as an Undergraduate Research Assistant under Professor Ruxiang Tang, where I develop benchmarks to evaluate model performance on negation-sensitive tasks and enhance negation comprehension in vision-language models for medical imaging.
$ When I'm not coding or researching, I'm actively involved in the Undergraduate Student Alliance of Computer Scientists at Rutgers, where I serve as a Tech Team and Executive Board Member. I'm also proud to have achieved the rank of Eagle Scout and to have been recognized on the Dean's list.
Building responsive and interactive web applications
Building robust server-side applications and APIs
Analyzing and interpreting complex data sets
Exploring and developing AI solutions
A full-stack RAG application to help students efficiently generate course schedules and connect with classmates. Utilized Next.js, Ollama, OpenAI API, and PineconeDB for an intelligent, responsive experience. Reduced average time spent searching for information by over 60%.
A modern, full-stack task management application built with React, TypeScript, and Spring Boot. This project demonstrates professional-grade web development practices, including type safety, optimistic UI updates, and responsive design. Features include task creation, real-time performance metrics, and error handling.
Bachelor of Science in Computer Science, Bachelor of Science in Data Science
Undergraduate Student Alliance of Computer Scientists - Tech Team & Executive Board Member
> I'm currently open to new opportunities and collaborations.
> Feel free to reach out for projects, questions, or just to connect.