Jatinjot Singh

Patiala, India.

Education

Thapar Institute of Engineering and Technology

Bachelor of Engineering Computer Engineering Grade: 7.05/10

Scholar Fields Public School

Class 12 Grade: 91.6%

Delhi Public School

Class 10 Grade: 86%

About

Aspiring Full-Stack Developer with expertise in the MERN stack (MongoDB, Express.js, React.js, Node.js) and a passion for building scalable, efficient, and user-friendly web applications. Skilled in backend development, API design, authentication (JWT, OAuth), and database optimization to enhance performance and security.

Certificates

JavaScript (Intermediate) Certificate

HackerRank

SQL (Intermediate) Certificate

HackerRank

Skills

Programming Languages

Python, C++, HTML, CSS, JavaScript.

Libraries/Frameworks

React.js, Node.js, Express.js.

Tools/Platforms

Git, VS Code, AWS (EC2).

Databases

SQL, MongoDB.

Projects

Expense Tracker

Summary

Developed a full-stack expense management system with user login/signup, protected routes, and JWT authentication. Integrated interactive pie chart visualization using Chart.js for expense breakdowns. Implemented dynamic expense listing, adding, and deletion with MongoDB for persistent storage. Enhanced user experience with SweetAlert2 notifications for login, signup, and actions. Responsive UI with modern styling and secure backend deployment on Render.

Learning Management System

Summary

Developed a web application to automate administrative tasks, reducing manual effort and enhancing process efficiency. Implemented a centralized dashboard for seamless student enrollment, attendance tracking, grade management, and class scheduling. Designed an intuitive, responsive Ul using React.js, enhancing user experience for administrators, teachers, students, and parents. Improved efficiency in data retrieval and management using MongoDB indexing and optimized queries.

Text Translation Tool

Summary

Developed a full-stack web application that allows users to upload .pdf/.txt files and translate their content into multiple languages using RapidAPI. Implemented JWT-based authentication (login/signup) with protected routes and user-specific translation history. Integrated file upload handling with Multer, pdf-parse, and cloud-based translation APIs. Enabled dynamic file downloads in both .txt and .pdf formats with accurate font rendering for Indian languages (Hindi, Punjabi, Gujarati). Planned enhancement: preserving original PDF formatting post-translation using structured templates or OCR-based layout reconstruction.