CS student building scalable backend & full stack apps with Node.js, TypeScript, MongoDB & PostgreSQL

• Built and deployed a production e-commerce storefront in React and TypeScript that leverages a Shopify hosted checkout for payment, with product launch target date of Dec 2026
• Designed a scalable frontend architecture using re-usable layouts, modals, and state management techniques, enabling ~70% code sharing and efficient creation of new features
• Implemented centralized cart state management using React Context and localStorage that allows real-time cart data sharing between different parts of the frontend (Navbar, product page, cart, overlays, etc.)
• Configured CI/CD and production deployment through Vercel, Cloudflare DNS, and GitHub automation, and integrated analytics to optimize frontend performance and support early user testing with 100+ visitors
• Designed and developed backend systems using Supabase (PostgreSQL) and Vercel Functions, implementing authentication, relational schema design, and caching strategies

Stack: React • TypeScript • Tailwind • Shopify • Vercel • PostgreSQL • Cloudflare

• Designed and implemented a Question Service microservice within a distributed 6-service architecture using Node.js, Express, and TypeScript, owning question CRUD operations and randomized selection functionality
• Developed 15 RESTful API endpoints for filtering, metadata queries, and dynamic question retrieval
• Incorporated input validation, standardized error handling (400/404/409/500), and Mongoose-based schema design to ensure API reliability and data integrity
• Built MongoDB aggregation pipelines using $match and $sample to enable efficient randomized question selection with optional filtering, reducing application-layer logic
• Processed and transformed 26K+ TACO dataset records into 325 structured coding questions using Python, cleaning, deduplicating, and structuring the data
• Wrote 35 automated tests using Jest and Supertest (66%+ coverage), including unit and integration tests validating CRUD workflows and aggregation pipelines

Stack: Node.js • Express • TypeScript • MongoDB • Mongoose • Jest

• Developed a full-stack MERN application for NUS students to create and discover study groups, integrating real-time course data from the NUSMods API to support course-based group matching
• Built RESTful APIs using Node.js and Express with session-based authentication (express-session, bcrypt) and MVC architecture, designing MongoDB schemas for users, groups, and memberships to ensure data integrity
• Integrated the NUSMods API, parsing nested timetable data (20–50+ entries per module) into structured formats, and implementing multi-criteria sorting (lesson type, day, time, class number) and search functionality
• Developed a responsive React frontend with dynamic data fetching, real-time validation (Formik), and improved UX through loading states and error handling

Stack: MongoDB • Express • React • Node.js

• Developed a personal portfolio website using Flask with server-side routing and dynamic templates
• Implemented backend request handling and session management
• Built a responsive frontend using HTML, CSS, JavaScript, and Jinja templates
• Deployed the application on PythonAnywhere

Stack: Python • Flask • HTML • CSS • JavaScript

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