Coaster is an innovative mobile app I developed end-to-end that seamlessly blends music and travel experiences. Coaster offers a unique set of features, including geographical clustering of listened tracks on an interactive map, playback previews, and custom playlist creation. Users can share and filter song clusters with friends and the global community, execute location and music-based search queries, and create collaborative listening memories. Coaster represents a perfect fusion of my technical skills and my passion for creating meaningful, user-centric applications that enhance people's daily lives and social connections. The app is currently in development and available to try on TestFlight if you join the test group!

• MongoDB
• Express
• React Native
• Node

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Repo Amigo is a chatbot web app I prototyped using Python that delivers a user-friendly interface for Github repository exploration. Users can ask questions about a selected repository, and receive answers generated by OpenAI's Large Language Models (LLMs) such as GPT-3.5-Turbo. The system employs persistent storage by caching document chunk embeddings in vector databases, ensuring that fetched repository data is retained across user sessions. Moreover, the web app integrates GitHub login functionality using OAuth2, allowing users to authenticate themselves with their GitHub credentials.

• OpenAI
• LangChain
• ChromaDB
• Streamlit

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A Generative Adversarial Network (GAN) is a type of AI model designed to generate new, realistic data by learning patterns from existing data. This research project creates 3 GAN variants for CIFAR-10 image generation and evaluates their strengths and limiations. The first GAN is a WGAN-GP that uses the Wasserstein Distance loss to address training stability and mode collapse issues. The second GAN is an AC-GAN that introduces an auxiliary classifier to generate labeled images. The third GAN is a hybrid "WAC-GAN-GP" combining the benefits of labeled data generation with training stability. Applying WAC-GAN-GP to CIFAR-10 is novel.

• PyTorch
• Google CoLab

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As a member of the Global Alliance for Medical Innovation (GAMI), I co-led a team of students to work with doctors and professors to develop ML models to detect Parkinson's and Alzheimer's Disease from patients' handwriting data. Nscribe is an iOS app currently on TestFlight designed to help medical professionals collect handwriting data from patients for neurodegenerative disease diagnosis purposes. The full paper detailing the ML analysis pipeline we developed is linked below in "More Info."

• XCode
• SwiftUI

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