Featured Projects
A collection of personal and collaborative projects I have worked on over the years
Mead Johnson PeptideX
Web AppA Python-based peptide database and Next.js web application developed in collaboration with Mead Johnson through The Data Mine. Enables biomedical researchers to search and query peptides with relevant data visualizations.
Key Features
- Integrated data from multiple open-source peptide databases, consolidating structural, biochemical, and trait-specific characteristics
- React web interface for researchers to search and query peptides
- Database infrastructure with SQLite for improved portability and deployment
Music Dashboard
Web App Machine LearningA personalized music analytics dashboard that visualizes Spotify listening habits and trends. Built with a Python backend for data processing and a Next.js frontend for interactive visualizations. Additionally experiment with pre-trained vocal suppression machine learning models.
Key Features
- Spotify API integration for listening history and playlist data
- Interactive visualizations of music trends and listening patterns
SASE Sniping Discord Bot
A Discord bot that sends automated real-time notifications about nearby SASE mentors based on their class schedule. Helps members stay informed and maximizes efficiency in gaining points in a friendly competition.
Key Features
- Real-time monitoring and instant Discord alert notifications
- Improves efficiency with an automated process instead of buried messages
BucketList Community App
Mobile AppA $1,000 commissioned goal-focused community platform developed for Purdue ACM SIGAPP. Features community boards, goal tracking, and social interaction capabilities to help users achieve their personal and professional objectives.
Commercial Success
- Delivered commissioned mobile application for client business
- Developed Community Board feature with React Native
- Integrated AWS backend with Prisma and Node.js
- Implemented scalable architecture for community engagement
Led development of an alumni networking platform connecting current students with graduates for mentorship and career guidance. Managed a student development team and coordinated with 40+ community members.
Leadership & Impact
- Led student development team through full project lifecycle
- Coordinated requirements gathering with 40+ stakeholders
- Deployed production-ready application serving the school community
- Implemented secure authentication and user management
An ML-powered mental health journaling application built with TypeScript and React. Features sentiment analysis to analyze writing trends and track mental health symptoms over time, helping users gain insights into their emotional patterns.
Key Features
- Real-time sentiment analysis of journal entries
- Trend visualization and mental health tracking
- Secure data storage with Firebase
- Responsive design for cross-platform accessibility
A comprehensive stock-monitoring application featuring real-time data tracking and machine learning-powered price predictions. Implemented multiple ML models to provide investment insights and market analysis.
Technical Achievements
- Experimented with LSTM, Random Forest, and CNN models for stock price prediction
- Built scalable Flask API with PostgreSQL database
- Real-time stock data integration and monitoring
- Interactive data visualization and analysis tools
Project Categories
Machine Learning
Sentiment analysis, stock prediction models, and AI applications for disaster response and image classification.
Full-Stack Web Apps
End-to-end web applications with modern frameworks, databases, and cloud deployment.
Mobile Development
Cross-platform mobile applications with React Native and cloud backend integration.
Research & Data
Biomedical databases, data pipelines, and research applications with scientific impact.