I specialize in building full-stack MERN applications and blending AI into web experiences. I craft intelligent tools and apps—from AI-powered analyzers to smart web platforms—that feel like magic ✨

ByteEdu
Dec 2024 - July 2025
Developed and maintained the company’s main website using React.js, Node.js, and MongoDB.Optimized page load time by 40% through code splitting and lazy loading.Built NGO management website with authentication and dynamic dashboards.Created reusable UI components improving UX consistency,reducing user navigation time .Collaborated with designers and backend team to integrate REST APIs and ensure smooth data flow.Implemented secure authentication and form validations,improving data reliability and security.Fixed bugs and improved cross-browser compatibility for better accessibility.Followed Git-based version control and Agile practices for faster feature delivery
I’m a passionate Full-Stack Developer focused on building scalable, high-performance, and user-centric web applications. I specialize in Next.js, TypeScript, and the MERN stack, with hands-on experience across both frontend and backend development.
I enjoy taking ideas from concept to production by building practical, real-world projects with clean architecture and strong performance. I continuously learn, experiment, and ship applications while sharpening my problem-solving and development skills.
I’m also actively exploring Artificial Intelligence, building AI-powered applications and agents through hands-on projects, and applying them to solve real-world problems.
Let's connect and collaborate to build something amazing together!

React Chess is a full-stack chess application built with the MERN stack (MongoDB, Express, React, Node.js). It features dynamic gameplay with move validation, AI opponents via Stockfish, user authentication with game history, real-time updates, and a responsive React UI. The project demonstrates modern full-stack development and interactive web app

An AI-Powered Community Learning Platform Meetsy is a community-driven learning platform where learners discover compatible study partners and achieve their goals together. Using intelligent AI matching, Meetsy connects people based on goals, interests, and learning styles—going far beyond simple keyword matching.

A full-stack Zerodha Clone built with the MERN stack, featuring JWT authentication, portfolio management, stock buy/sell simulation, and transaction tracking. Uses MVC architecture, bcrypt for security, **Mongoose** for data modeling, and **Tailwind CSS** for a responsive, real-world trading UI.

A retro-inspired portfolio that recreates the classic Macintosh System 7 / Mac OS 9 desktop experience using modern web technologies. This project blends nostalgic UI aesthetics with smooth animations, interactivity, and responsive design.