Cybersecurity postgraduate (M.E. Biometrics and Cybersecurity, PSG College of Technology) specializing in threat detection, penetration testing, and security analytics. I build ML-driven systems for intrusion detection, account-takeover detection, malware analysis, and threat intelligence — with a strong grounding in network & wireless security, IAM, and applied cryptography. Currently seeking a Security Analyst / Security Engineer role.

• 🎓 Pursuing M.E. Biometrics and Cybersecurity at PSG College of Technology (2025–2027)
• 🔐 Focused on Threat Detection, VAPT, and AI for Cybersecurity
• 🧠 Building ZeroLeakX, ThreatMesh, and SecureAgentNet — ML/agentic AI systems for fraud, threat intel, and LLM-agent security
• 🌍 Based in Coimbatore, India
• 🤝 Open to collaborating on security research and ML-for-security projects
• ✉️ Reach me at gowthamrockerzzz@gmail.com

• ZeroLeakX — Real-time account-takeover detection platform with a Dynamic Trust Score engine driven by behavioral biometrics and ML (LSTM, Isolation Forest, XGBoost), secured with Zero-Knowledge Proofs and AES-256 encryption. (PSB Hackathon Series 2026)
• ThreatMesh — Autonomous multi-agent cyber threat intelligence platform: five specialized ingestion agents feeding a Neo4j threat graph for automated correlation and risk prioritization.
• SecureAgentNet — Game-theoretic runtime defense framework combining prompt-injection detection with privilege governance for tool-integrated LLM agents.
• LOTL-Hunter — Detects Living-off-the-Land attack techniques in cyber-physical systems; academic paper prepared in Springer LNCS format.
• Enhanced Wireless IDS on AWID — WIDS built on the full 1.8M-frame AWID dataset using chunk-based stratified sampling, five-stage preprocessing across 155 protocol features, and a class-balanced Random Forest.
• NLP-Based SMS Spam Detection — Spam classifier on the SMS Spam Collection dataset using TF-IDF features and LinearSVC, benchmarked against multiple ML models.