| Education | Academic Performance | Focus Areas |
|---|---|---|
|
B.Tech CSE (AI & ML) SRIHER, Chennai 
|
GPA9.8 / 10 CGPA 9.0 / 10 
|
Machine Learning and XAI Full Stack Development LLMs and Cloud Services 
|
⤷ Review Guard – AI moderation system (LLMs + embeddings + regex), async pipeline with BullMQ + Redis reducing API latency by ~90–95% (1.2s → <100ms)
⤷ Heart Disease Prediction – Explainable AI AutoML system with 76% validation accuracy (SHAP, medical insights)
⤷ RL Traffic Optimization – 45% congestion reduction using Reinforcement Learning and 83% faster emergency response times
⤷ Hybrid SVM–Naive Bayes AQI Predictor – 96.2% accuracy + 13th IEEE (ISED 2025) paper publication
⤷ AutoVerify – AWS-based document verification system (Textract + Rekognition + Lambda + DynamoDB + S3)
Hybrid SVM–Naive Bayes Ensemble with LIME and SHAP for Transparent Air Quality and Health Risk Prediction
Developed a hybrid SVM–Gaussian Naive Bayes ensemble model for AQI and health risk prediction with 96.2% classification accuracy, integrating LIME and SHAP for transparent and interpretable AI-driven decision making.
| Presented research work at the 13th IEEE International Conference on Intelligent Systems and Embedded Design (ISED 2025), NIT Raipur. | Earned the AWS Academy Machine Learning Foundations Digital Badge covering ML fundamentals and cloud-based AI workflows. |
| Received the IBM Z Skills Digital Badge for participation and learning in enterprise computing technologies. |
Soft Skill Development: 90% (Elite + Gold) - Top 1% Effective Writing: 87% (Elite + Silver) - Top 5% |
| Completed certification courses in MongoDB and Linux System Administration. | Shortlisted in hackathons and showcased projects during Tech Expo and Research Day events. |
| Organized and coordinated technical events including Tech Expo, Research Day, and Mindspark. | Achieved NCC Certificate ‘A’ (Grade A) and served as Lance Corporal (LCPL) under 13 (TN) BN NCC. |
