Full-Stack / Backend Engineer focused on building production-style web systems with emphasis on API design, database architecture, and system reliability.

I enjoy building applications that go beyond CRUD by incorporating real-world engineering concerns such as:

• transactional consistency
• offline-first workflows
• real-time updates
• scalable backend design
• testing-driven reliability

Currently focused on strengthening backend systems and production deployment practices using Node.js, PostgreSQL, and modern web frameworks.

A secure, offline-first feedback system designed for educational institutions with strong emphasis on data integrity and reliability under failure conditions.

🔗 Live: https://secure-feedback-platform.vercel.app/
🔗 GitHub: https://github.com/Punith1117/secure-feedback-platform

• Transaction-safe feedback submission with one-time access codes
• Offline-first architecture with IndexedDB-based local persistence and sync recovery
• Real-time admin updates using pub/sub (Ably)
• Normalized PostgreSQL schema for scalable reporting and analytics
• Integration and end-to-end testing with real database workflows
• CI pipeline with automated testing and validation

Focus: system reliability, transactional integrity, offline-first design, real-time systems

A production-style social media application implementing core social networking features with a full REST API backend and frontend integration.

🔗 GitHub: https://github.com/Punith1117/social-media-backend

🔗 GitHub: https://github.com/Punith1117/social-media-frontend
🔗 Live: https://social-media-punith1117.netlify.app/explore

• JWT authentication with secure session handling
• User profiles, follow system, posts, likes, and comments
• Feed system with cursor-based pagination, infinite scrolling and optimized queries
• RESTful API architecture using Express and PostgreSQL
• Rate limiting for comments
• Optimistic updates for likes
• File uploads via Cloudinary
• Structured backend with controllers, middleware, and services

Focus: REST API design, relational database modeling, full-stack integration

Backend: Node.js, Express, PostgreSQL, Prisma, Drizzle ORM
Frontend: React, TypeScript, Next.js
Testing: Vitest, Playwright, Jest, Supertest
Tools: Git, GitHub Actions, Postman
Deployment: Vercel, Netlify, Render

• Backend API design and system architecture
• Database modeling and transactional systems
• Authentication and authorization patterns
• Real-time communication systems
• Offline-first data synchronization
• Integration and end-to-end testing strategies
• Production deployment fundamentals

• Docker-based environment setup for reproducible development
• Redis caching and rate limiting for performance optimization
• Improved observability and system debugging practices
• Exploring scalable backend architecture patterns

• System design fundamentals for scalable web applications
• Distributed systems concepts (event-driven design, caching layers)
• Production-grade backend engineering practices
• Performance optimization techniques for APIs and databases

• LinkedIn: https://www.linkedin.com/in/punith-r-yes
• GitHub: https://github.com/Punith1117
• Email: [email protected]