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MERN Stack Developer with less than a year in React.js, Node.js, and MongoDB.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic B.Tech Computer Science graduate with hands-on experience in MERN stack development. Skilled in building full-stack web applications using React.js, Node.js, Express.js, and MongoDB with RESTful API integration. Seeking an opportunity to contribute to scalable web applications while growing as a full-stack developer.
KTU University
B-Tech · Computer Science and Engineering
November 1, 2021 – April 1, 2025
Luminar Technolab
MERN Stack Intern
July 1, 2025 – February 1, 2026
Kalamassery, Kerala, India
HostHub - Event Management and Ticket Booking Platform
June 27, 2026 – Present
• Developed a full-stack MERN event management application using React.js, Node.js, Express.js, and MongoDB with JWT authentication, role-based authorization (Admin, Organizer, User), and RESTful API architecture. • Integrated Stripe payment gateway for secure online ticket booking, implemented checkout session handling, digital ticket generation with QR codes, and booking persistence in MongoDB. • Built dynamic admin and organizer dashboards with event approval workflow, real-time booking updates, protected routes, state management, and responsive UI using Tailwind CSS and modern React Hooks.
View ProjectRestaurant Table Booking Web Application - React and Firebase
June 27, 2026 – Present
• Developed a full-stack restaurant reservation system with user authentication, restaurant browsing, and table booking based on preferred date and time. • Built an admin/owner panel to manage restaurants, tables, and booking schedules with real-time updates. • Integrated Firebase Authentication and Cloud Firestore to securely store user, restaurant, and booking data for scalable performance.
View ProjectHouse Price Prediction and Recommendation System
June 27, 2026 – Present
• Developed a tool that extracts room dimensions from floor plan images using image processing and OCR techniques, calculates square footage, and generates an interactive 3D model using WebGL/Three.js. • Extracts dimensions from floor plan images, calculates square footage, and renders an interactive 3D model for better spatial understanding. • Implemented a recommendation system to suggest furniture layouts and interior design options based on user preferences and budget constraints, enhancing user experience in spatial planning and home design
Cultural Fit Analysis
The candidate's projects demonstrate a breadth of interests beyond core MERN, including Firebase and even a machine learning/3D modeling project. This indicates curiosity and a willingness to explore different technologies, which can be a positive cultural fit for an innovative environment. The internship experience suggests an ability to work in a team setting. However, the overall experience level is entry-level, which might require more mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate lists problem-solving, team collaboration, time management, adaptability, and quick learning as soft skills. The project descriptions suggest an ability to work on complex features independently. However, without direct assessment data, the operational fit regarding these soft skills remains unvalidated.