I'm a Computer Science and Business student at Boston University passionate about building practical solutions that make a difference. I love combining technology with real-world applications, especially in the financial, data science, and news technology domains.
- PennApps XXVI Best Design Winner for noogie - a news clustering and visualization platform
- HackHarvard '25 Best Use of Cloudflare Winner for Eyrie - a real-time crowd monitoring system that predicts crowd crush events
- Currently building Stock Portfolio Insights - a full-stack portfolio management platform with AI recommendations
- Built a comprehensive Personal Financial Tracker to help manage expenses and analyze spending patterns
- Always learning new technologies and improving my development skills
- Based in Boston, MA
- Connect with me on LinkedIn
A node-cluster visualization platform that collects, deduplicates, clusters, and summarizes breaking news stories from across the web to mitigate media bias and help users see the complete picture of current events.
Key Features:
- Multi-source news collection via RSS feeds and web scraping
- Smart deduplication using sentence embeddings and FAISS vector indexing
- AI-powered clustering and headline generation with OpenAI GPT-4o
- Interactive D3.js node visualization for exploring news clusters
- Scalable architecture with multithreading support
- Bias mitigation through diverse source aggregation
Tech Stack: TypeScript React D3.js Python Flask OpenAI GPT-4o Supabase FAISS
GitHub: View Project
A real-time crowd monitoring system that uses AI-powered drones to detect dangerous crowd formations and predict deadly crowd crush events before they occur, providing authorities critical minutes to respond and save lives.
Key Features:
- Multi-source WebRTC streaming from drones with real-time person detection overlays
- YOLOv8 detection for tracking individuals with high-accuracy bounding boxes
- Spatial density analysis using Gaussian kernel algorithms with normalized coordinates
- Machine learning algorithms for predictive alerts before crush events occur
- Interactive D3.js visualizations with risk heatmaps and time-series analytics
- Scalable architecture supporting multiple simultaneous drone feeds
Tech Stack: TypeScript Next.js 15 React D3.js Python FastAPI YOLOv8 aiortc WebRTC OpenCV PyTorch Cloudflare
GitHub: View Project
A modern, full-stack web application for tracking and analyzing stock portfolios with real-time performance metrics, AI-powered insights, and comprehensive portfolio analytics.
Key Features:
- Real-time portfolio analytics with professional data visualizations
- AI-powered investment recommendations and risk assessment
- Responsive React frontend with modern UI/UX design
- RESTful Flask API with comprehensive endpoint coverage
- Interactive charts showing portfolio value, sector allocation, and performance
- Holdings management with add/remove functionality
- Portfolio insights with diversification analysis
Tech Stack: React 18 Flask Python RESTful APIs Responsive Design
GitHub: View Project
A robust Extract, Transform, Load (ETL) pipeline built with Python for processing and transforming data from multiple sources into a structured format suitable for analysis and storage.
Key Features:
- Data extraction from multiple sources and formats
- Comprehensive data transformation and cleaning operations
- Automated data validation and quality checks
- Scalable pipeline architecture for large datasets
- Error handling and logging for production reliability
- Modular design for easy maintenance and updates
Tech Stack: Python Pandas Data Processing ETL Architecture Data Validation
GitHub: View Project
- Completing Stock Portfolio Insights
- Building ETL pipelines for data processing and transformation
- Implementing AI-powered investment recommendations and analytics
- Exploring opportunities to expand on Noogie's success
- Looking for collaboration opportunities in software and data engineering
- Best Design Winner at PennApps XXVI (2025) for noogie
- Best Use of Cloudflare at HackHarvard '25 for Eyrie
- Computer Science and Finance Student at Boston University
- Multiple full-stack projects with modern tech stacks
