AI Engineer with 2+ years in Machine Learning & Computer Vision.
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AI/Data Science undergraduate with practical experience in Machine Learning, Computer Vision, and Data Analytics from internships and coursework. Competent in creating predictive models, designing object detectors using YOLOv8, and processing big data with tools such as Python, Scikit-Learn, Pandas, and OpenCV. Looking for a position as an AI/ML Engineer or entry-level technical role to apply technical expertise in building intelligent, data-driven solutions to contribute to society.
Velalar College of Engineering and Technology
Bachelor of Technology · Artificial Intelligence and Data Science
N/A – May 1, 2026
Svasti Vector Solutions
AI/ML Intern
January 1, 2026 – April 1, 2026
Madurai, Tamil Nadu, India
Suguna Innovation Institute
Machine Learning Intern
July 1, 2024 – Present
Coimbatore, Tamil Nadu, India
Video Surveillance System Using YOLOv8
June 24, 2026 – Present
• Implemented an anomaly detection system using YOLOv8 in a real-time environment where an accuracy of 91% was achieved with respect to 1,500 custom dataset images in real-time at approx. 24 FPS on the CPU. • Performed optimizations like frame resizing, grayscale transformation, and non-max suppression using OpenCV to bring down the time required for inference of each frame to 42 ms from 180 ms, easy-to-use python module with configurable parameters allowing easy deployment on 3 different kinds of video capturing devices.
AI-Driven Hybrid Post-Quantum Cloud Data Security System (QuantumVault)
June 24, 2026 – Present
• Developed a quantum-resistant cloud storage platform using Kyber-768 + X25519 hybrid key exchange and XChaCha20-Poly1305 encryption to ensure secure file storage and transmission against future quantum threats. • Implemented real-time anomaly detection using the Isolation Forest algorithm to analyze user upload behavior and automatically restrict suspicious accounts, enhancing cloud security and access control. • Built a secure Flutter-Golang-AWS architecture with AWS S3 object ownership validation, Cognito-based authentication, rate limiting, and encrypted file management, achieving low-latency secure file operations.
Data Analytics & Machine Learning Master Class
NoviTech R&D Pvt Ltd
June 1, 2026 – Present
Privacy & Security in Online Social Media
NPTEL
June 1, 2026 – Present
Principles of Management
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying advanced concepts (e.g., quantum-resistant security, real-time anomaly detection). The diversity of projects, from video surveillance to cloud data security and financial prediction, indicates a broad interest in AI/ML applications. The target role of 'AI Engineer' aligns well with the candidate's academic background and practical experience. However, the experience level (2) and current student status suggest a need for mentorship and structured growth within a team.
Soft Skills & Operational Fit
The candidate's resume highlights participation in an inter-college symposium as a student co-ordinator, suggesting some organizational and teamwork skills. However, there is insufficient data to comprehensively assess other soft skills like leadership, problem-solving under pressure, or detailed communication effectiveness in a team setting. Operational fit regarding specific work methodologies or cultural nuances cannot be fully determined from the provided information.