Projects
A curated selection of recent work, explorations, and contributions
Medical Imaging Analysis with Deep Learning
Led 5-person team developing automated retinal disease detection system using three deep learning approaches: CNN multi-class classification achieving 97% accuracy, Vision Transformer semantic segmentation achieving 0.84 Dice coefficient, and BERT NLP classification achieving 0.89 F1-score across 10,000+ images and clinical records. Designed hybrid Vision Transformer-CNN encoder-decoder with U-Net architecture and implemented multimodal fusion pipeline integrating ResNet, BERT, and semantic segmentation.
Chemical Exposure Risk Assessment App
Mobile application utilizing React Native for cross-platform development, integrated with gaseous diffusion modeling engine and computational algorithms to simulate chemical exposure pathways and calculate risk assessment scores for product safety evaluation. Implemented SQL database architecture and integrated third-party retail APIs to automate safety assessment across 5,000+ retail products with real-time hazard analysis.
Retail Price Database System
Engineered full-stack mobile application using React Native and JavaScript to aggregate real-time grocery pricing data across 15+ retailers. Implemented RESTful API architecture, web scraping, and JSON data parsing to collect pricing, inventory, and geolocation information. Designed SQLite database schema with normalized tables for product cataloging, price history tracking, and user preferences, achieving sub-second performance across 5,000+ SKUs.
Multiplayer Video Game
Architected cloud-deployed multiplayer trading card game platform using Django and Python, implementing backend development with game state management and battle mechanics for concurrent user sessions. Collaborated with 4-person team using Agile methodology to deploy web application infrastructure on PythonAnywhere, implementing user authentication, session management, and SQL database operations.