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AI Engineer with 1+ years in Machine Learning & Deep Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Artificial Intelligence graduate pursuing M.Tech in Artificial Intelligence with expertise in Machine Learning, Deep Learning, Computer Vision, Generative AI and NLP. Experienced in developing AI models, research solutions and deploying ML applications.
Karpagam College of Engineering
B.Tech · Artificial Intelligence and Data Science
N/A – June 30, 2025
Shri Krishna Vidyalaya
10th Standard
N/A – May 31, 2018
Amrita Vishwa Vidyapeetham
M.Tech · Artificial Intelligence
N/A – June 30, 2026
Natchimuthu Polytechnic College
Diploma · Computer Technology
N/A – June 30, 2021
DeepFake Image Detection – Hybrid Spatial-Frequency Deep Learning
June 27, 2026 – Present
• Developed AI-based DeepFake detection pipeline combining spatial and frequency features achieving 96.1% accuracy and 0.9944 AUC. • Deployed Flask application enabling real-time classification with Grad-CAM explainable AI visualization. • Optimized performance achieving 98.1% precision through feature engineering and attention-based learning.
Terrain-Aware Octopod Robot Navigation using Reinforcement Learning
June 27, 2026 – Present
• Designed reinforcement learning simulation using Q-Learning and A* algorithm achieving 100% navigation success rate. • Integrated LiDAR perception, obstacle avoidance, and terrain-aware decision making for autonomous navigation. • Analyzed reward convergence and stability metrics to optimize robot movement across multiple terrains.
Privacy-Preserving Federated ESRGAN for Medical Image Super-Resolution
June 27, 2026 – Present
• Engineered federated ESRGAN architecture across simulated hospital clients, improving MRI super-resolution while preserving data privacy. • Implemented DP-SGD and Byzantine-resistant aggregation techniques, reducing privacy risks and securing distributed AI model training. • Evaluated performance using PSNR, SSIM, privacy budget (e), and optimized stability across Non-IID datasets.
TATA Data Visualization Virtual Internship
TATA
June 1, 2026 – Present
Internet of Things (IoT) Certification
Tech Mahindra
June 1, 2026 – Present
Runner Up among competing teams in 24-Hour Hackathon BIT V-PRAYUKTI’23 by developing an innovative technical solution.
BIT V-PRAYUKTI
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in cutting-edge AI research and application, which aligns well with an AI Engineer role. The diversity of projects (medical imaging, deepfake detection, robotics navigation) indicates a broad intellectual curiosity and adaptability. The hackathon achievement further suggests a proactive and competitive spirit. However, the lack of professional experience makes it challenging to assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems and a drive for optimization and evaluation. Participation in a hackathon suggests teamwork and problem-solving under pressure. However, without specific behavioral assessments or work experience, it is difficult to fully assess soft skills like communication, leadership, or adaptability in a professional setting.