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  • Ernakulam

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Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: Quickdraw

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unnita1235/README.md

Hi, I'm Unni T A 👋

Full-Stack Developer | MERN Stack Enthusiast | AI Integration Learner

I'm a developer from Ernakulam, Kerala, India, with a focus on building web applications using modern technologies. My projects are prototypes designed to explore full-stack development and AI features, helping me gain practical experience. I'm eager to contribute to real-world teams and am open to remote junior roles in full-stack development.

📫 Reach me at: unnita1235@gmail.com | LinkedIn

Skills

  • Frontend: Next.js 15, React, TypeScript, Tailwind CSS, shadcn/ui
  • Backend: Node.js, Express.js, MongoDB, Firebase
  • AI/ML: Basic integrations with Google Gemini/Genkit for recommendations and parsing
  • Tools: Git, Vercel deployments, Snyk for security, JWT authentication, Socket.io
  • Other: Responsive design, basic testing with Vitest, CI/CD via GitHub Actions

These skills come from hands-on prototyping; I'm building depth through ongoing practice.

Key Projects

These are my recent prototypes, each built to demonstrate specific aspects of full-stack work. They're not production apps but show my ability to integrate frontend, backend, and AI elements.

  • StockPilot: An inventory management tool with real-time tracking and basic AI forecasting. Features include CRUD operations and analytics. Tech: Next.js, Express, MongoDB. Live Demo
  • QuickBite: AI-powered food delivery prototype for restaurant recommendations. Includes search and cart functionality with static data. Tech: Next.js, TypeScript, Google Genkit. Live Demo
  • AI-Resume-Parser: A tool for parsing and optimizing resumes using AI for ATS compatibility. Supports file uploads. Tech: Next.js, Gemini. Live Demo
  • TenantVerse: Property management SaaS prototype with multi-tenancy and planned payments. Tech: Next.js, Express, MongoDB. Live Demo
  • ConnectNow: Messaging app prototype inspired by Slack, with real-time chat elements. Tech: Next.js, Socket.io. Live Demo
  • VendorConnect: Multi-vendor e-commerce marketplace prototype. Tech: Next.js, Firebase. Live Demo
  • MatchLink: Matchmaking app prototype with AI compatibility hints. Tech: Next.js, TypeScript. Live Demo

What I'm Working On

  • Expanding prototypes with full backend implementations and scalability features.
  • Contributing to open-source projects to gain collaborative experience.
  • Learning advanced topics like cloud deployment and performance optimization.

GitHub Stats

Unni's GitHub Stats Top Languages

Thanks for checking out my profile! I'm committed to honest growth and welcome feedback.

Updated: January 2026

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  1. TenantVerse TenantVerse Public

    Production-ready full-stack property management SaaS: Next.js 15 TypeScript frontend on Vercel + Express.js/MongoDB backend with JWT auth, Stripe payments, Docker, automated deployment, comprehensi…

    TypeScript 1

  2. StockPilot StockPilot Public

    A comprehensive full-stack inventory management system built with Next.js 15, TypeScript, Express.js, and MongoDB. Features real-time stock tracking, analytics, and forecasting for small to medium …

    TypeScript 1

  3. ConnectNow ConnectNow Public

    A modern Slack-like messaging interface prototype built with Next.js 15, TypeScript, and Tailwind CSS. Features a responsive multi-panel chat UI with channels, direct messages, and team member list…

    TypeScript 1

  4. VendorConnect VendorConnect Public

    Modern Next.js 15 e-commerce marketplace UI with TypeScript, Tailwind CSS & responsive design. Features product browsing, cart interface, search & filtering. Backend in development with Express, Mo…

    TypeScript 1

  5. MatchLink MatchLink Public

    MatchLink: A modern Tinder-like profile discovery UI built with Next.js 15, TypeScript & Tailwind CSS. Features responsive profile browsing, dynamic routing, and elegant card-based layouts. Full-st…

    TypeScript 1

  6. QuickBite QuickBite Public

    Full-stack restaurant discovery platform with AI-powered search using Google Gemini. Built with Next.js, TypeScript, and Express backend. Deployed on Vercel and Render.

    TypeScript 2