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AI Engineer with less than a year in Data Science & Deep Learning
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Computer Science student specializing in Machine Learning and Deep Learning. Possesses hands-on experience in developing AI models for healthcare and real-time systems, alongside full-stack web development. Proficient in Python, Java, TensorFlow, PyTorch, and various data analysis libraries. Eager to contribute technical skills and problem-solving abilities to challenging projects.
GIFT Autonomous College, Bhubaneswar
Bachelor of Technology · Computer Science
August 1, 2023 – June 30, 2027
Panchayat Samiti Higher Secondary School, Odisha
12th Grade
June 1, 2019 – May 31, 2021
G.Y.S High School, BhuliaSikuan, Odisha
10th Matriculation
N/A – May 31, 2019
National Institute of Technology (NIT), Rourkela
Data Science & Deep Learning Intern
June 1, 2025 – July 1, 2025
India
Real-Time Chat Backend System
June 9, 2026 – Present
Developed scalable REST API using Node.js and Express.js. Implemented authentication and session management. Designed database schema and handled real-time communication.
Lightweight Deep Learning Model for Heart Sound Classification
June 9, 2026 – Present
Developed optimized deep learning models for resource-constrained devices. Applied signal processing techniques using Librosa. Used ICBHI Heart Sound Dataset for classification tasks.
Real-Time Facial Anti-Spoofing System (Deep Learning)
June 9, 2026 – Present
Designed and implemented a real-time facial anti-spoofing system using CNN-based architectures. Performed data preprocessing, augmentation, and feature extraction using PyTorch. Integrated OpenCV-based live webcam detection for real-time classification of real vs spoof faces. Achieved robust performance against common spoofing attacks (printed images, screen replay).
E-commerce Web Application
June 9, 2026 – Present
Built a full-stack e-commerce platform with authentication and payment workflow. Developed responsive UI using React.js, HTML, CSS, Bootstrap. Implemented backend using Node.js and Express.js.
Cultural Fit Analysis
The candidate's project diversity, including academic and personal projects in both AI/ML and web development, suggests adaptability and a broad interest in technology. The internship at NIT Rourkela indicates an interest in structured research and development environments. The target role of 'AI Engineer' aligns well with the candidate's specialized areas and project focus. The breadth of skills, from deep learning to full-stack development, indicates a versatile individual who could contribute to various aspects of a project.
Soft Skills & Operational Fit
The candidate lists communication, problem-solving, leadership, and decision-making as soft skills. Project descriptions indicate an ability to execute on technical tasks. However, without specific examples or interview data, the depth of these soft skills and operational fit cannot be fully assessed.