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Entry-level AI Engineer with MERN stack experience and a focus on deep learning models.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To obtain a position that provides opportunities to enhance my skills, build expertise, and contribute meaningfully to organizational success.
GIFT Autonomous Bhubaneswar
B.Tech · Computer Science Engineering (AI)
August 1, 2022 – June 30, 2026
ATTABIR College
Intermediate · Higher Secondary Education
June 1, 2022 – May 31, 2022
Rotary Public School Bargarh Odisha
Matriculation
June 1, 2020 – May 31, 2020
GLUCIAN INDIAN PVT.LTD.
Internship on MERN Stack
May 23, 2025 – July 10, 2025
India
AI-Powered Smart Attendance System (Face Recognition)
June 1, 2026 – Present
Developed a full-stack attendance system using MERN stack integrated with a Python-based deep learning model via Flask APIs. Implemented face detection using MTCNN and feature extraction using pre-trained FaceNet (InceptionResnetV1). Performed face matching using cosine similarity on facial embeddings for real-time recognition. Built REST APIs (Flask) and interactive frontend (React) with backend services (Node.js, Express) and MongoDB for data storage.
The candidate scored 65% on the MERN: Intern test, indicating a solid foundational understanding but also highlighting areas where deeper knowledge and practical application could be improved for a senior role.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic project on an 'AI-Powered Smart Attendance System' shows initiative and practical application of AI skills. The MERN stack internship and project demonstrate a willingness to learn and apply diverse technologies. The candidate's interest in 'Exploring new technologies' aligns with a dynamic, innovation-driven culture. However, the limited professional experience (one internship) means there's less data to fully assess long-term cultural fit in a senior capacity.
Soft Skills & Operational Fit
The psychometric test score of 335/500 suggests average logical reasoning, work attitude, stress handling, and team collaboration. The candidate lists 'Good listener' and 'Adaptable' as strengths, which are positive for team environments. However, the psychometric score indicates potential areas for development in operational fit and soft skills for a senior role.