Hi, I'm Ayush Verma
Full Stack Developer
I build exceptional digital experiences that are fast, accessible, and visually appealing.
I build exceptional digital experiences that are fast, accessible, and visually appealing.
I'm a dedicated Full Stack Developer with over a year of hands-on experience in building dynamic and scalable web applications. My core expertise lies in JavaScript-based technologies including React.js, Node.js, Express, and MongoDB.
My passion for web development began during my college years, and since then, I’ve been committed to crafting efficient solutions and delivering seamless user experiences. I thrive on transforming ideas into impactful digital products through clean, maintainable code.
Ayush Verma
ayush_verma@srmap.edu.in
+91 9798786431
Jamshedpur, Jharkhand, India
Developed a full-stack EdTech platform with React, Node.js, Express, and MongoDB. Includes authentication, instructor and student dashboards, secure course management, markdown support, Razorpay payments, and Cloudinary integration. Features a responsive and modern Tailwind CSS UI.
Built a full-stack AI-powered course creation platform using Next.js, Clerk, Firebase, and the Gemini API. It allows authenticated users to generate and manage complete course content dynamically. Includes admin controls, media uploads, and a responsive UI with Tailwind CSS.
A frontend-only News Blog Website that allows users to read the latest news and manage personal blog posts entirely in the browser. It integrates live news fetching from public APIs with category-based filtering and bookmarking features. For blogs, it uses localStorage to store posts and uploaded images, ensuring persistence across sessions without a backend. The app features a clean, responsive UI built with React, offering a seamless experience for both news readers and casual bloggers.
Built using React for dynamic component rendering and state management, this app combines a blogging platform and a real-time news dashboard. Users can create, edit, and delete blog posts with images stored via browser localStorage, ensuring persistence without any backend. The news section fetches live articles from external APIs and supports category-based filtering and bookmarking. The responsive UI is styled using CSS3, providing a seamless experience across devices.
StudyNotion is a full-stack EdTech platform offering students a seamless learning experience and instructors powerful course management tools. Built with the MERN stack, it features secure authentication, rich media handling, and responsive design for all devices.
Built using React, Node.js, Express, and MongoDB, with Tailwind CSS for styling and Redux for state management. Cloudinary powers media storage, while Razorpay handles secure payments. REST APIs connect all modules efficiently with clear role-based access.
AI Course Generator is a full-stack web platform that enables users to generate and manage course content using AI. Built with Next.js and integrated with the Gemini API, it delivers personalized curriculum generation in real-time. It also includes authentication, role-based access (via Clerk), and seamless media uploads (Firebase).
Developed with Next.js and React, this project leverages Gemini for content generation and Firebase for backend storage. User authentication and session management are handled using Clerk. The design emphasizes scalability and responsiveness, using Tailwind CSS and reusable components.
Chati Website is a full-stack real-time messaging website built with React, Node.js, and Socket.IO. It supports one-to-one chats, media sharing, and modern features like emoji support, OTP verification, and profile customization. Built with scalability and responsive design in mind.
The frontend is built with React and Redux for smooth UI and state management. The backend uses Node.js with Socket.IO for real-time communication and MongoDB for database management. Supabase handles authentication and media storage. The codebase is modular, scalable, and production-ready.
Vehiql is an AI-powered car marketplace that streamlines the car buying experience. It features intelligent search and filtering, smooth authentication, responsive design, and user-friendly UI for browsing or listing vehicles effortlessly.
Built with Next.js and TypeScript for performance and scalability. TailwindCSS ensures fast UI development. Clerk handles authentication. ShadCN powers modular components, while modern architecture keeps the codebase clean and responsive.