Education
B.Tech Electrical Engineering (2021–2025) National Institute of Technology Durgapur - Cultural Fest Core Member: Recstacy 2023
Experience
Frontend Intern @ Innovaciotech — Next.js, TypeScript, React (August 2024 – February 2025) During this internship, I developed a dynamic PDF generation feature using the React-pdf package, integrating backend APIs to render customized, client-specific PDFs with precise formatting and performance optimization. I also contributed to ERP systems by enhancing frontend functionality for managing client and employee data, improving the overall user experience.
SDE Intern @ Mphasis — Angular, Express.js, MySQL (February 2025 – June 2025) At Mphasis, I built a full-stack data management system that enabled institutions to securely manage MySQL records. I implemented an Express.js backend with dynamic database connections and robust CRUD operations, and developed a user-friendly Angular frontend that allowed seamless interaction with database records without requiring SQL knowledge. To ensure secure API communication, I integrated authentication, rate limiting, and SQL injection protection. The codebase was structured using turborepo to enhance development efficiency and deployment workflows.
Projects
Payment Transfer Web App
Developed a full-stack Paytm clone simulating real-world payment workflows using modern web technologies. Implemented secure authentication with NextAuth.js supporting multiple providers, and designed a mock banking webhook system to simulate real-time fund transfers and asynchronous payment updates. The backend was built using Prisma ORM and PostgreSQL for robust data modeling and transaction history. The UI was styled with TailwindCSS to ensure a responsive, clean interface. A monorepo architecture with Turborepo was adopted to enhance modularity and developer experience. The app was deployed on a GCP e2 instance using Docker, with a complete CI/CD pipeline for automated build, test, and deployment.
Studybot Web-App
Built a study assistant web application with a responsive frontend using Next.js, TypeScript, and TailwindCSS, backed by a robust Express.js and Prisma-powered backend. Integrated the LLaMA3 AI model (8B parameters) to enable natural language Q&A and contextual guidance for learners. Developed RESTful APIs to facilitate smooth client-server communication and real-time updates. Additionally, implemented a quiz module that allows users to take practice tests and track their performance.