Prince Arora is a Teaching Assistant in the Department of Computer Science and Engineering at the School of Engineering and Technology, Navrachana University. He holds a Bachelor of Technology (B.Tech.) in Computer Science and Engineering from Navrachana University. He has industry experience as a Full Stack Developer Intern at Megh Technologies Pvt. Ltd., Vadodara, where he contributed to the design and development of enterprise-grade web applications involving backend API development, document processing automation, and role-based access control systems. His technical expertise spans full-stack web development using the MERN stack, modern JavaScript frameworks, RESTful API design, cloud deployment, and containerization. He is committed to helping students bridge the gap between academic learning and industry practices by encouraging hands-on, project-based development and building strong programming fundamentals.
• B.Tech. – Computer Science and Engineering, Navrachana University, Vadodara (2022–2026)
• Industry Experience – 5 Months (Full Stack Developer Intern, Megh Technologies Pvt. Ltd., Vadodara)
TEACHING
Areas of Teaching Interest:
• Python Programming
• Web Technology
• Object-Oriented Programming (OOP)
• Java Programming
• Database Management Systems (DBMS)
• DevOps
Teaching Philosophy / Approach:
Prince believes in a practical, student-centred approach to teaching where concepts are introduced through real-world analogies and reinforced through hands-on exercises. He emphasises helping students understand the “why” behind every concept rather than just the “how,” fostering deeper comprehension and independent problem-solving. His goal is to create an open and supportive learning environment where students feel comfortable asking questions and learning at their own pace.
TECHNICAL EXPERTISE
• Languages: JavaScript (ES6+), TypeScript, Python, Java
• Frontend Development: React.js, Next.js, HTML5, CSS3, Tailwind CSS
• Backend Development: Node.js, Express.js, RESTful API Design
• Databases: MongoDB, Mongoose ODM, PostgreSQL, MySQL
• Authentication & Security: JWT, OAuth 2.0, Role-Based Access Control (RBAC)
• DevOps & Deployment: Docker, CI/CD Pipelines, DigitalOcean
• Version Control: Git, GitHub
• Developer Tools: Postman, Prisma ORM, VS Code
AREA OF EXPERTISE
• Full Stack Web Development (MERN Stack)
• RESTful API Design and Development
• Authentication, Authorization, and Secure System Design
• Database Design — SQL and NoSQL
• Cloud-Based Application Deployment and DevOps Fundamentals
• Software Architecture and Design Patterns
• Artificial Intelligence and Generative AI (Exploratory)
PROJECTS
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Medicure Pro — Scalable Full Stack Telehealth Platform
Medicure Pro is a full-stack telemedicine platform designed to facilitate seamless and secure doctor-patient interactions through a modern web interface. The platform incorporates secure user authentication using JWT and OAuth, role-based access management for patients, doctors, and administrators, and supports end-to-end features including appointment scheduling and online consultation. Built following system design principles, the application was containerized using Docker and deployed on DigitalOcean with CI/CD pipelines, reflecting industry-standard practices in cloud deployment and DevOps.
Technology Stack: Next.js, React, Node.js, Express.js, MongoDB, Tailwind CSS, JWT, OAuth, Docker, DigitalOcean.
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KodeX IDE — Cloud-Based Developer IDE
KodeX IDE is a browser-based integrated development environment that enables developers to write, execute, and manage code directly within the browser without any local environment setup. The platform supports real-time code editing and execution, file management, and project organisation, and is built on a modular, secure backend architecture that facilitates extensibility and maintainability. The project demonstrates the practical application of software architecture principles, API security, and modern frontend engineering.
Technology Stack: Next.js, React, Monaco Editor, WebContainers, TypeScript, Tailwind CSS, Zustand, Node.js.
3. SmartCart — AI-Powered Smart Shopping Trolley
SmartCart is an AI-powered smart shopping system that leverages computer vision for automated product identification and real-time billing. The system uses object detection to identify products placed in the trolley, eliminating the need for manual barcode scanning and enabling a fully automated checkout experience.
Technology Stack: Python, Flask, YOLO.
