Projects

An AI-powered SQL learning platform with 10+ realistic datasets for practicing queries in the browser. Features include case studies, interview preparation content, and 18+ interactive tutorials. Built with Next.js, DuckDB WebAssembly, and OpenAI integration.

A web app implementing my previous project "Finding New Spotify Recommendations Using Spotify API" in Next.js, allowing users to test its functionalities on the web.

The Spotify Hyper & Opposite Playlist Generator enhances digital music experiences by offering two distinct playlist types: "Hyper-Focused" playlists, tailored to users' existing tastes, and "Opposite Playlists," introducing new genres and tracks.

A multi-class classification problem of music genre prediction based on audio features. Tested various machine learning models including logistic regression, random forest, support vector machines, k-nearest neighbors, and XGBoost.

A Streamlit app designed to connect college students, helping each other with classes they've previously taken and are currently enrolled in. Students input their current and past classes, and the app matches them with peers.

A project for the deep learning class at NYU, developed together with Leo Dupire. Currently adapting Conditional GANs, used for image generation to generate spectrogram representations of audio samples.

A group project where I was responsible for front-end, back-end and database development. Developed app maps, wireframes, and prototypes during project design phase. Applied Agile methodologies such as Scrum.