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About

B.E. Computer Engineering graduate with hands-on experience building and deploying full-stack web applications using React.js, Node.js, Express.js, MongoDB, and REST APIs. Experienced in implementing JWT authentication, responsive interfaces, AI-powered features, and cloud deployments through internship and independent projects. Seeking an entry-level Software Engineer or Full Stack Developer role to contribute to production-focused engineering teams.

Experience1

  1. Full Stack Development Intern

    Jun 2025 — Jul 2025

    Code Alpha

    Built two production-ready MERN stack applications, including a social media app and an e-commerce platform, using RESTful APIs and MVC architecture. Developed responsive frontend components with React.js, JavaScript, and Tailwind CSS ensuring clean UI and cross-browser compatibility. Implemented secure JWT authentication and modularized backend routes with Node.js and Express.js. Used Git and GitHub for source control, delivering both projects within the 2-month internship.

Projects3

  • ExpenseSensei

    Developed an AI-powered expense tracker with automated receipt scanning using Tesseract OCR and TensorFlow for expense classification. Integrated Google Gemini API for personalized financial insights and deployed on Vercel and Render. Designed a normalized MongoDB schema to ensure scalable and secure data storage for user financial records.

    Open on live
    • React.js
    • Node.js
    • MongoDB
    • Tesseract OCR
    • TensorFlow
    • Gemini API
    • Vercel
    • Render

  • DevPortfolio & Code Auditor

    Built a full-stack code analysis tool using the MERN stack to scan codebases for security vulnerabilities using the Gemini API. Implemented JWT authentication and MongoDB aggregation pipelines to cache analysis history, reducing repeated API calls by 40%.

    Open on live
    • React.js
    • Node.js
    • MongoDB
    • Gemini API
    • Express.js
    • Vercel
    • Render

  • TicketFlow - AI Support CRM

    Engineered a full-stack support CRM using React 18, Node.js, Express, and MongoDB, implementing real-time multi-field search, dynamic status tracking, and timestamped agent resolution notes. Integrated Google Gemini LLM API to build an AI Support Copilot that automates 1-click issue triage, priority scoring, sentiment analysis, and context-aware Gmail response generation.

    Open on live
    • React.js
    • Node.js
    • MongoDB Atlas
    • Gemini API
    • Express.js
    • Vercel
    • Render

Education1

  • B.E.

    2022 — 2026

    Chhatrapati Shivaji Maharaj Institute of Technology, Panvel

    Computer Engineering