AI and Machine Learning engineer with hands-on experience across NLP, cybersecurity, and multi-agent systems. Currently pursuing a B.E. in Computer Science Engineering (AI & ML) at VSB Engineering College, Karur (CGPA 8.19/10, 2023–2027). Interested in applying research-driven approaches to real-world risk scoring, threat detection, and automation problems.

ThreatSense-AI (2026) — GitHub Real-time network threat detection system with a live SOC dashboard monitoring 200+ events, ML-based classification across 4 attack types with risk scoring on a 0–1 scale, and automated email/SMS alerting for SOC analysts.

Multi-Agent Research Assistant (2026) Automated research workflows using LangGraph, Endee Vector Database, and Groq, with multi-agent collaboration for literature review, summarization, and knowledge extraction, plus intelligent query routing. Deployed on Streamlit.

AI-Powered Loan Assessment System (2026) Streamlit-based loan assessment platform with real-time risk scoring (0–1 scale) and instant approval, evaluating employment type, work experience, and income for eligibility prediction, with application tracking and analytics dashboards.

Zero Trust SOC Assistant (2026) ML-powered security pipeline with data preprocessing, model training, and inference for real-time risk scoring. Integrated honeytoken deception with automated incident response (account isolation, IP blocking, SOC alerts). Achieved 100% attack detection across AWS credential theft, SSH brute force, DDoS, and CI/CD pipeline abuse test scenarios.

JobGuard Pro (2025) NLP pipeline combining DistilBERT, CNN, and RNN with TF-IDF features to classify fraudulent job postings, achieving 92% ensemble accuracy. Deployed via a Flask web interface with real-time prediction.

• NPTEL — Introduction to Machine Learning (Elite Certification)
• NASSCOM — Generative AI Fluency Certification
• Cisco — Introduction to IoT and Digital Transformation
• Infosys Virtual Internship Program