I’m a Computer Science Major passionate about software and AI!
With a background in graphic design, I blend technical skills with creativity to craft engaging and accessible digital experiences. I'm passionate about building impactful software and exploring AI to solve real problems.
Places where I've contributed!
May 2026 — Present
Data-Centric Intelligence Lab
Cincinnati, OH
Contributing to research projects at the Data-Centric Intelligence Lab focused on developing data quality assurance methods to enhance AI modeling performance across industrial and data driven systems.
Jan 2026 — May 2026
Timme Lab - UC College of Medicine
Reading, OH
Built end-to-end computer vision and machine learning pipelines in Python and MATLAB for large-scale image analysis, trained CNN-based regression and classification models with PyTorch, and integrated vision sensors and embedded hardware for automated publication-ready behavioral analysis.
Sep 2025 — Present
RevolutionUC Hackathon
Cincinnati, OH
Developed the official website for the hackathon using TypeScript and Next.js, implementing responsive design principles and integrating RESTful APIs for seamless data exchange.
Selected work — scroll to explore!
An award-winning AI-powered Chrome extension that suggests affordable, eco-friendly product alternatives directly from users' shopping carts. Built with React, Node.js, Gemini API, and Hugging Face NLP models, featuring real-time product categorization, sustainability scoring, and personalized recommendations using Zilliz vector database. Won Second Place, Best Green Tech Hack, and MLH Best Use of Gemini API at MakeUC 2025 Hackathon.
An innovative AI-powered solution for real-time potato disease detection. This full-stack application leverages TensorFlow for deep learning, FastAPI for a robust backend, and React with Material UI for an intuitive frontend. The system processes leaf images to deliver accurate disease classifications with confidence scores.
A cutting-edge React application designed for seamless movie exploration. Features include infinite scrolling, debounced search, and trending recommendations powered by the TMDB API. The app boasts a modern ES6+ JavaScript architecture and a responsive UI crafted with Tailwind CSS and glassmorphism effects.
A portfolio built with HTML, CSS, JavaScript and GSAP (ScrollTrigger, ScrollSmoother, MotionPathPlugin). Includes smooth scrolling, a pinned horizontal projects scroller with lazy-loaded demos, an animated hero, and responsive accessible navigation. Designed in Figma and implemented from that prototype.
A dynamic platform for sharing recipes and engaging with an AI-powered chatbot. Developed during a hackathon, this project integrates SQLite3 for efficient data storage, OpenAI API for intelligent chatbot interactions, and Streamlit for a user-friendly interface. Ideal for food enthusiasts and tech-savvy users alike.
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