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MERN Stack Developer with less than a year in web application development and AI/ML projects.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A motivated BCA graduate (2025) with practical experience in MERN Stack development through a 6-month internship, seeking a junior developer position to build scalable web applications, enhance technical expertise, and contribute effectively to team success. Eager to learn new technologies and adapt quickly to industry requirements.
J.J.M.M.H.S.S Yendayar
Class 12 · Computer Science
N/A – May 31, 2022
J.J.M.M.H.S.S Yendayar
Class 10 · Computer Science
N/A – May 31, 2020
Sree Sabareesa College
Bachelor of Computer Applications · Computer Applications
N/A – June 30, 2025
Luminar Technolab
MERN STACK INTERN
July 1, 2025 – January 1, 2026
Cochin, Kerala, India
Secure Digital Document Locker
December 1, 2025 – January 1, 2026
Developed a secure web application for storing and managing digital documents. Implemented user authentication and authorization to ensure document privacy. Enabled file upload, download, and deletion with secure access controls. Used MERN Stack (MongoDB, Express.js, React.js, Node.js) for backend and frontend development. Integrated AES encryption for sensitive data and Cloudinary for secure file storage. Designed responsive and user-friendly interfaces using Tailwind CSS.
Second-Hand Bookstore
November 1, 2025 – December 1, 2025
Developed a web application for users to buy and sell second-hand books. Implemented user authentication and authorization for secure account access. Built RESTful APIs for listing, buying, and managing books using Node.js, Express.js, and MongoDB Atlas. Designed responsive frontend interfaces with React.js, Bootstrap, and Tailwind CSS. Integrated payment functionality and an admin module to approve and manage book listings.
Fire Detection System Using Machine Learning
October 1, 2025 – November 1, 2025
Developed a real-time fire detection system using deep learning (Inception CNN). Trained the model on a labeled dataset of fire and non-fire images for accurate detection. Implemented detection in images and videos with Python, TensorFlow, and Keras. Built a user-friendly interface using OpenCV and Streamlit for real-time monitoring.
Certified Blockchain Associate (CBA)
Kerala Blockchain Academy
June 1, 2026 – Present
Machine Learning with Python Workshop
ICFOSS
June 1, 2026 – Present
Advanced Excel Course
STP Computer Education
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including MERN stack web applications and a machine learning system, indicates a broad interest in technology. The target role of 'MERN Stack Developer' aligns well with the candidate's internship experience and personal projects. The academic project in machine learning also shows initiative beyond core web development. The certifications, while varied, suggest a willingness to learn new technologies. However, the experience level is entry-level, which might require significant mentorship for a senior role.
Soft Skills & Operational Fit
The candidate identifies as a quick learner, adaptable, and possesses good time management skills, which are beneficial for a dynamic development environment. The internship experience suggests an ability to work on practical projects and integrate frontend with backend services, indicating a foundational operational fit. However, without specific psychometric test results, a deeper assessment of stress handling and team collaboration is not possible.