Architected, built, and deployed a full-stack fitness-tracking PWA using React/Vite, Node/Express, and MongoDB. Implemented 41 UI components/pages across 5 state-management domains, a 20-endpoint REST API backed by 5 Mongoose models, workout and exercise tracking, personal-record tracking, JWT and Google OAuth authentication, API hardening with Helmet and express-rate-limit, GitHub Actions automation, offline-capable PWA functionality, and a decoupled Vercel frontend and Render backend production architecture.
Shaurya Chaudhary
Computer Science & Engineering Graduate | Full-Stack Developer
About
Computer Science & Engineering graduate who independently designed, built, and deployed ForgeFit, a production-grade MERN fitness-tracking PWA.
Experience
Full Stack Developer (Independent Project)
Forge-Fit
4 mos · Noida, Uttar Pradesh, India
Designed, built, and deployed ForgeFit, a production-grade MERN fitness-tracking PWA, solo — from data modeling through live deployment. • Architected a full-stack app spanning 41 UI components across 5 state-management domains, backed by a 20-endpoint REST API and 5 Mongoose models, covering workout logging, exercise management, and personal-record tracking. • Modeled exercise data with stable IDs so renaming an exercise preserves its full logged history. • Diagnosed and resolved a session-expiry deadlock by redesigning JWT token lifecycle (3→30 day validity) with automatic self-logout on invalid sessions. • Hardened the API with Helmet security headers, rate-limited auth endpoints, and locked-down CORS for production. • Automated infrastructure reliability with two scheduled GitHub Actions workflows: a keep-alive ping and a daily demo-data reset. • Shipped an installable PWA scoring 100/100 on Best Practices and SEO (mobile Lighthouse). • Deployed a decoupled production architecture (Vercel frontend, Render backend) with zero committed secrets. Live: forgefit-blush.vercel.app | Code: github.com/Shaurya03/forgefit
Education
Gautam Buddha University
Bachelor of Technology (B.Tech), Computer Science & Engineering
August 2025
CGPA: 8.15/10