• Developed clothes recommendation website, which collected users’ preference with an Tinder-ish interface.• Designed a SPA front-end in React.js, which displayed clothing that users can swipe to like or dislike. The webpages achieved responsive design with Bootstrap, CSS. The preferences were sent back through REST API for data analysis.• Created recommendation system in Python Django. It calculated clothes recommendation to a user with KNN and collaborative filtering algorithm improving prediction accuracy by 70%, and unified data management by sorting data in MySQL database with SQL Alchemy ORM.• Programmed warehouse management system with Node.js Express framework, MySQL and Sequelize ORM. Wrote RESTful API to transmit JSON between servers and increased read speed 40% by caching data in Redis.• Deployed app in Docker containers on Heroku, which increased the number of app instances 4X.