Fullstack Engineer with less than a year in MERN Stack development and AI/ML.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science Engineering (AI) undergraduate with hands-on experience in MERN Stack development, REST API design, authentication systems, and database management. Built full-stack applications using React.js, Node.js, Express.js, and MongoDB. Completed AI/ML internship and developed real-world projects involving web development and AI-powered solutions. Seeking MERN/React Developer Internship opportunities.
Hitech Higher Secondary School
Intermediate
N/A – May 31, 2023
GIFT Autonomous, Bhubaneswar
B.Tech · Computer Science and Engineering(AI)
N/A – Present
Saraswati Sishu Vidya Mandir
Matriculation
N/A – May 31, 2021
Central Tool Room & Training Centre (CTTC)
Internship : Artificial Intelligence & Machine Learning
June 1, 2025 – Present
Bhubaneshwar, Odisha, India
DevScribe – MERN Blogging Platform
June 16, 2026 – Present
Developed a full-stack blogging platform using React.js, Node.js, Express.js, and MongoDB. Implemented JWT authentication, protected routes, and role-based access control (RBAC). Designed RESTful APIs for blog management and user operations. Optimized database queries and caching mechanisms for improved performance. Deployed frontend and backend services using modern deployment workflows.
View ProjectTrustLensAI | AI-Powered Deepfake Detection Platform
June 16, 2026 – Present
Developed backend APIs using Node.js and Express.js. Integrated AI models for image and video deepfake detection. Implemented media upload, processing, and risk-scoring workflows. Designed scalable backend architecture for handling detection requests.
View ProjectComputer Networks and Internet Protocol (ELITE)
NPTEL
June 1, 2026 – Present
Achieved 70% on the MERN Intern test, indicating a good foundational understanding and practical skills in the MERN stack, suitable for an intern level.
Strengths
Limitations
Cultural Fit Analysis
The candidate shows a strong interest in both MERN stack development and AI/ML, indicating a diverse technical curiosity. Their personal projects demonstrate initiative and a drive to build practical applications. The pursuit of an AI/ML internship alongside MERN development suggests a versatile mindset. The target role of 'Fullstack Engineer' aligns well with their MERN experience, while their AI background could be a valuable asset for teams working on intelligent applications. The candidate's stated hobbies of fitness and learning new technologies suggest a balanced and growth-oriented individual.
Soft Skills & Operational Fit
The candidate's self-declared strengths include strong problem-solving, analytical skills, leadership, and teamwork abilities. The psychometric test score of 264/500 suggests average performance in areas like logical reasoning, work attitude, stress handling, and team collaboration, indicating potential areas for development in operational fit.