Full Stack Developer

Ram
Muppaneni

Building with code + AI — end to end

A developer growing across the full stack — front-end interfaces, back-end APIs, cloud infrastructure, and AI-assisted workflows. Every project here was built hands-on with real tools, real deployments, and real learning.

View Projects Learning Roadmap
6
Skill Areas
12+
Projects Built
AI
Co-Pilot Workflow
Who I Am

Developer.
Builder.
Learner.

I'm on a deliberate path to becoming a professional full-stack developer. Rather than just watching tutorials, I build real projects — apps with actual users, real APIs, and live deployments.

My workflow combines solid engineering fundamentals with AI co-pilot tools like Claude, GitHub Copilot, and Cursor. I use these not as shortcuts, but as accelerators that let me ship faster and learn more deeply.

Every skill in my portfolio was earned through real, deployed code — not courses or certificates alone.

Frontend Development React, TypeScript, Tailwind CSS, Remix, responsive design
Backend & APIs Node.js, NestJS, REST, GraphQL, PostgreSQL, MongoDB
Cloud & DevOps AWS (ECS, Lambda, S3, RDS), Docker, CI/CD pipelines
Testing & Quality Jest, React Testing Library, Playwright, code reviews
AI-Assisted Development Prompt engineering, AI tooling, validated AI-generated code
Mobile Development React Native, cross-platform apps, app store deployment
Technical Skills

Everything I Build With

A full-stack capability set — developed progressively through real projects, mentored by AI co-pilot workflows.

Frontend Development

Building pixel-perfect, performant interfaces with modern React patterns, TypeScript, and component-driven architecture.

React 18 TypeScript Remix Vite Tailwind CSS Next.js Framer Motion

Backend & APIs

Designing scalable REST and GraphQL APIs, microservices, authentication systems, and database architectures.

NestJS Node.js REST GraphQL PostgreSQL MongoDB Redis

Cloud & DevOps

Deploying and operating production-grade systems on AWS, with infrastructure as code and automated CI/CD pipelines.

AWS Docker ECS Lambda GitHub Actions Terraform CloudWatch

Testing & Quality

Writing comprehensive test suites — unit, integration, and end-to-end — to ensure production reliability and security.

Jest Playwright React Testing Library Cypress Vitest ESLint

AI-Assisted Development

Using AI co-pilot tools as a daily multiplier — prompt engineering, code validation, AI-generated test creation, and documentation.

Claude GitHub Copilot Cursor Windsurf Prompt Engineering

Mobile Development

Building cross-platform mobile apps using React Native — shared logic with native performance and app store deployment.

React Native Expo iOS Android App Store Push Notifications
Learning Journey

6-Phase Roadmap

A structured path from foundational skills to senior-level full-stack capability — each phase building on the last with real, deployed projects.

01
Phase 1 — Foundation

Frontend Fundamentals

  • HTML5 semantics & CSS3 layouts
  • JavaScript ES6+ & TypeScript basics
  • React components, hooks, state
  • Responsive design with Tailwind CSS
  • Deployed portfolio website (this one!)
02
Phase 2 — Backend

APIs & Databases

  • Node.js & Express / NestJS
  • REST API design & GraphQL
  • PostgreSQL & MongoDB
  • Authentication with JWT & OAuth
  • Build a real CRUD app with auth
03
Phase 3 — Full Stack

End-to-End Applications

  • Connect React front-end to Node back-end
  • Real-time features with WebSockets
  • File uploads, payments, emails
  • Role-based access control
  • Launch a full SaaS-style app
04
Phase 4 — Testing

Quality & Reliability

  • Unit testing with Jest & Vitest
  • Component testing with RTL
  • E2E testing with Playwright
  • CI/CD with automated test gates
  • Code reviews & static analysis
05
Phase 5 — Cloud

AWS & DevOps

  • Deploy apps with AWS ECS & Lambda
  • Infrastructure as Code (Terraform)
  • GitHub Actions CI/CD pipelines
  • Monitoring with CloudWatch
  • Secrets, IAM, security hardening
06
Phase 6 — Advanced

AI Integration & Scale

  • Integrate AI APIs (Claude, OpenAI)
  • Build AI-powered app features
  • Microservice architecture patterns
  • Performance optimisation
  • Mobile app with React Native
Work

Projects Built

Every project below was built hands-on — real code, real deployment, real learning. Each one targets a specific skill area.

Live

Developer Portfolio

This very site — a fully custom, animated portfolio built with semantic HTML5, CSS3 animations, and zero frameworks. Responsive, fast, and production-deployed.

HTML5 CSS3 JavaScript Responsive
View Project →
Live

Task Manager App

A full CRUD Kanban board with task creation, filtering, priority levels, progress tracking, and drag-and-drop style workflow management.

JavaScript CSS3 Kanban CRUD
View Project →
Live

Weather Dashboard

A real-time weather dashboard with hourly forecasts, 7-day outlook, air quality index, wind compass, and multi-city search.

JavaScript Data Viz API Design CSS3
View Project →
Live

AI Chat Interface

A full AI chat application powered by Claude's API — with conversation history, markdown rendering, typing indicators, and prompt suggestions.

Claude API JavaScript AI Integration UX
View Project →
Live

VitaCore Health Store

Premium health & wellness e-commerce store for an Australian supplement brand — real products, TGA compliance, live cart, customer reviews, free shipping logic, and full checkout flow.

JavaScript CSS3 E-Commerce UX Design
View Project →
Live

HealthPulse — Wellness App

Full personal health dashboard — vitals monitoring, activity tracking, nutrition logging, sleep analysis, and goal setting. Production-grade UI built for real health-tech clients.

JavaScript Health Tech Data Viz CSS3
View Project →
Live

Real-Time Chat App

A Slack-style team messaging app with channels, direct messages, live bot replies, typing indicators, reactions, and user presence.

JavaScript WebSockets Real-Time CSS3
View Project →
Live

Finance Tracker

Personal finance dashboard with income/expense tracking, budget progress bars, spending charts, category breakdowns, and transaction management.

JavaScript Charts Data Analytics CSS3
View Project →
AI Workflow

How I Use AI
as a Co-Pilot

AI doesn't replace engineering skills — it multiplies them. Here's how I integrate AI tools into a professional, validated development workflow.

⚡ Code Generation

Using Claude and GitHub Copilot to generate boilerplate, scaffold components, and draft API handlers — then reviewing, testing, and refining every line before merging.

🧪 Test Creation

Prompting AI to generate comprehensive test suites for components and APIs — covering edge cases that manual writing often misses, then validating against real behaviour.

📖 Documentation

Using AI to generate JSDoc comments, API documentation, README files, and architecture decision records — keeping codebases maintainable at speed.

🔍 Code Review

Running AI-assisted static analysis and security reviews before every pull request — catching vulnerabilities, anti-patterns, and performance issues early.

🔄 Refactoring

Prompting AI to suggest refactoring opportunities — improving readability, reducing duplication, and migrating to newer patterns with confidence.

💡 Problem Solving

Using AI as a thinking partner for architectural decisions, debugging complex issues, and exploring tradeoffs — always with critical evaluation of suggestions.

Let's Work Together

Available for freelance projects, long-term contracts, and full-time roles. Based in Australia — let's build something great together.