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Fullstack Engineer with less than a year 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 | Biju Patnaik University of Technology (BPUT)
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)
June 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)
June 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)
June 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)
June 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.
Social Networks
NPTEL (IIT Kharagpur)
June 1, 2026 – Present
Introduction to IoT
NPTEL (IIT Kharagpur)
June 1, 2026 – Present
Industrial IoT 4.0 (12 weeks)
NPTEL (IIT Kharagpur)
June 1, 2026 – Present
Soft Skills Development (Leadership, Communication, Collaboration)
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including MERN stack applications and AI/ML projects, shows a broad interest in different technical areas. Their pursuit of multiple NPTEL certifications, including those in IoT and soft skills, indicates a proactive learning attitude and commitment to continuous improvement. The projects align well with a Fullstack Engineer role, demonstrating a practical, hands-on approach to development. The current enrollment in a B.Tech program suggests a foundational academic background in Computer Science and Engineering.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving and critical thinking skills, is a quick learner, and has actively pursued certifications in soft skills development. Their interests in fitness training and logical puzzles suggest discipline and analytical thinking. These traits indicate a good operational fit and potential for growth within a team environment.