Fullstack Engineer with 2+ years in MERN stack & AI/ML
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Assessing your cultural and operational fit
Motivated B.Tech Computer Science student (2023-Present) with hands-on experience in full-stack web development using the MERN stack. Completed two internships building real-world applications. Proficient in JavaScript, React, Node.js, Express, and MongoDB. Eager to contribute to scalable web application development as a Full-Stack Developer Intern.
GIFT Autonomous, Bhubaneswar
B.Tech · Computer Science and Engineering
August 1, 2023 – Present
Marsaghai Higher Secondary School, Kendrapada
Intermediate (12th)
N/A – May 31, 2023
Central Tool Room & Training Centre (CTTC)
Web Development Intern
May 1, 2025 – July 31, 2025
Bhubaneshwar, Odisha, India
Industrial Internet Of Things(IIOT)
Industrial Internet Of Things(IIOT)
July 1, 2024 – Present
Bhubaneshwar, Odisha, India
Spam Mail Detection System (MERN Stack)
January 1, 2026 – Present
Designed and developed a full-stack web application to detect and classify spam emails. Implemented responsive UI in React; connected to a Node.js/Express backend with MongoDB. Applied basic machine learning classification logic on the server side for spam filtering.
E-Commerce Website (MERN Stack)
January 1, 2026 – Present
Built a full-stack e-commerce platform using React.js (frontend), Node.js/Express (backend), and MongoDB (database). Implemented product listing, cart management, user authentication (JWT), and order flow with REST APIs. Designed responsive UI components and integrated MongoDB for product and user data storage.
Deepfake Detection System (AI/ML + Python)
January 1, 2026 – Present
Developed a deepfake detection system using pre-trained AI/ML models to classify real vs. manipulated media. Applied neural network-based classification (CNN/transfer learning) for image/video authenticity analysis. Integrated the model with a Python-based web interface to accept media uploads and return detection results.
UGC Ad Generation Website (MERN Stack + AI API)
January 1, 2026 – Present
Built a full-stack web application that enables users to generate User-Generated Content (UGC) style advertisements using AI APIs. Designed React-based UI for ad input, preview, and export; Node.js/Express backend handles API orchestration. Demonstrates practical exposure to AI API integration and automation directly matching the job's "Good to Have" criteria.
NPTEL - Social Networks
IIT Kharagpur
June 1, 2026 – Present
NPTEL - Introduction to IoT
IIT Kharagpur
June 1, 2026 – Present
NPTEL - Industrial IoT 4.0 (12 weeks)
IIT Kharagpur
June 1, 2026 – Present
NPTEL - Soft Skills Development (Leadership, Communication, Collaboration)
Unknown
June 1, 2026 – Present
The candidate scored 67% on the MERN: Intern test, indicating a good foundational understanding and practical ability in MERN stack development, suitable for an intern or junior role, but with room for growth towards senior-level expertise.
Strengths
Limitations
Cultural Fit Analysis
The candidate's project diversity, including e-commerce, spam detection, deepfake detection, and UGC ad generation, shows a broad interest in applying technical skills to various domains. The internships and personal projects demonstrate initiative and a hands-on approach. The stated interests in fitness training and logical puzzles suggest a disciplined and analytical mindset. However, the low psychometric test score could be a concern regarding cultural fit, depending on the specific values and demands of the team environment.
Soft Skills & Operational Fit
The candidate's NPTEL certification in Soft Skills Development (Leadership, Communication, Collaboration) suggests an awareness and commitment to developing crucial interpersonal and team-oriented skills. The psychometric test score is low (143/500), which might indicate areas for development in logical reasoning, work attitude, stress handling, or team collaboration, though specific details are not provided. The English test score of 66% indicates adequate communication clarity for professional settings.