RESUME
ARGHYADEEP DUTTA

SKILLS

  • C
  • Java
  • HTML5
  • CSS
  • Bootstrap
  • React.js
  • Next.js
  • Material UI
  • Tailwind CSS
  • Material UI (MUI)
  • Redux Toolkit
  • Context API
  • TypeScript
  • Javascript
  • React Router
  • Axios
  • Form Handling & Validation (React Hook Form, Yup, Zod)
  • Node.js
  • Express.js
  • REST APIs
  • JWT Auth
  • Multer
  • Cloudinary
  • ImageIo Kit
  • Nodemailer
  • MongoDB (Mongoose)
  • MySQL (basic queries & joins)
  • Git/GitHub
  • Postman
  • Docker(Basic)

LANGUAGES

  • English (Native)
  • Bengali (Native)
  • Hindi (Native)

Interest

  • Learning New Skills
  • Reading Books
  • Playing Cricket
  • Travelling

Personal Info

  • DOB : 18/02/2000
  • Marital Status : Single

ARGHYADEEP DUTTA

MERN Stack Developer

18(6) Vivekananda Road, Anandapuri, Barrackpore, West Bengal, P.O.- Talpukur, KOL- 700123

PROFILE

Highly motivated MERN Stack Developer with a strong foundation in building scalable, responsive, and user-friendly web applications using MongoDB, Express.js, React.js, and Node.js. Skilled in Next.js, TypeScript, and MySQL, with practical knowledge of RESTful APIs, authentication/authorization, state management (Redux), and modern UI frameworks. Strong problem-solving ability, attention to clean and maintainable code, and passion for delivering efficient solutions. Eager to contribute to dynamic projects, collaborate with cross-functional teams, and continuously upgrade skills in modern web technologies.

Personal Project/s

Project Name :

Car Rental Website

Description :

A full-stack Car Rental Application built with the MERN stack (MongoDB, Express.js, React.js, Node.js), designed to provide a seamless experience for customers, owners, and admins. Customers can browse, search, and book cars with secure payments via Stripe and PayPal (sandbox mode, USD only), while managing their profiles and bookings. Owners can complete KYC verification, manage cars, handle booking requests, and track earnings. Admins oversee the platform through dashboards to manage users, cars, bookings, payments, and KYC approvals.

On the technical side, the frontend uses React with Redux Toolkit for state management, React Router v6 for navigation, and TailwindCSS for a responsive UI. The backend is built with Node.js and Express.js, with MongoDB (Mongoose) for data storage. Security is ensured with JWT, OTP-based verification, and bcrypt for passwords. Multer and Cloudinary handle file uploads, while Nodemailer manages emails. Extra protection is provided by CORS and Helmet, making the application secure and reliable.

Project Name :

Doctor Appointment Booking Website

Description :

I built a Doctor Appointment Booking Website using the MERN stack, featuring three roles – Patient, Doctor, and Admin – with role-based dashboards. Patients can register, manage their profiles, search for doctors, book appointments, and pay either via cash or Razorpay online gateway. Doctors can log in with secure accounts, update their profiles, view upcoming bookings, mark appointments as completed, and track their earnings. Admins have full control to add doctors with login credentials, manage patients and doctors, monitor all bookings, and view key statistics like the total number of doctors, patients, and bookings in a central dashboard. The project uses Context API for state management, Tailwind CSS for a responsive UI, Cloudinary for image storage, and JWT authentication for security, making it a complete real-world solution for online doctor appointment management.

Tools & Technologies used: MERN Stack (MongoDB, Express.js, React.js, Node.js), Context API, Tailwind CSS, Cloudinary, Razorpay, JWT Authentication.

Project Name :

QuickGpt

Description :

I developed a Full-Stack AI-Powered Chat & Image Generation Application using the MERN stack (MongoDB, Express.js, React.js, Node.js), integrated with the Google Gemini API to deliver real-time conversational AI and creative text generation. Users can register, log in, chat with AI, and generate images seamlessly via ImageIO Kit.

The platform uses a subscription-based model with three tiers — Basic, Pro, and Premium — offering tailored usage limits and features. Stripe integration enables secure, hassle-free online payments.

The frontend is built with React, Context API, and Tailwind CSS for responsive UI and smooth state management, while the backend leverages Node.js, Express.js, and MongoDB for authentication, payments, and subscription handling — ensuring scalability and security.

Project Name :

AI-Resume-Builder

Description :

The AI Resume Builder is a full-stack web application built using the MERN Stack (MongoDB, Express.js, React.js, Node.js) that lets users easily create, edit, and manage professional resumes online. It features a clean and responsive UI built with Tailwind CSS, live resume preview, multiple templates, and shareable online resume links.

Powered by Google Gemini AI, the app intelligently analyzes and optimizes resumes by suggesting improvements in structure, tone, and keyword usage. Users can also upload existing resumes for AI-based enhancement and manage multiple resumes efficiently within their dashboard.

The project integrates ImageIO Kit for profile image uploads with background removal, ensuring professional visuals. With secure authentication, real-time updates, and cloud storage, this project combines AI-driven intelligence with a modern, scalable MERN architecture to deliver a seamless resume-building experience.

Project Name :

SnapCart

Description :

Developed a full-stack grocery delivery platform using Next.js, MongoDB, Socket.IO, Stripe, and Google Authentication, featuring three distinct roles—User, Delivery Partner, and Admin—with secure role-based dashboards and access control. Implemented real-time order tracking with Socket.IO and live map integration to provide users with dynamic delivery updates. Built a comprehensive Admin panel for managing groceries, orders, and users with real-time updates. Integrated Google OAuth for seamless authentication and added Stripe for secure online payments and order processing. Designed scalable RESTful APIs using Next.js API routes and MongoDB, and developed a responsive, modern UI with Tailwind CSS optimized for both mobile and desktop experiences.

Project Name :

My Portfolio

Description :

A modern developer portfolio showcasing my projects, technical skills, and experience. Built with Next.js, Tailwind CSS, and Framer Motion, it features smooth animations, responsive design, and an interactive UI. The portfolio highlights full-stack projects, real-world applications, and my journey as a developer, with a focus on performance, accessibility, and clean user experience.

Experience/s

09/02/2026 -

Company :

Webskitters Technology

Designation :

HTML Developer

Description :

I am working as an HTML Developer where I contribute to building responsive and user-friendly web interfaces. I have experience converting UI/UX designs into clean, well-structured HTML and CSS, ensuring cross-browser compatibility and performance. I collaborate with designers and developers to implement modern web standards and improve user experience. I am continuously learning and enhancing my skills to deliver high-quality frontend solutions.

EDUCATION

Bachelor Of Technology In Electrical Engineering (CGPA 8.42)

2024

Diploma In Electrical Engineering (CGPA 7.6)

2021
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