I'm a B.Tech Cybersecurity student with a strong foundation in blue teaming, incident response, and SOC analysis. With hands-on internship experience and multiple industry credentials including ISO/IEC 27001 Lead Auditor and Certified Online Fraud Prevention Specialist (COFPS), I combine technical expertise with a passion for building intelligent security solutions — from agentic AI systems to compliance scanners.
Dual-core autonomous SOC system combining a Gemini 2.5 Flash agentic AI engine with a TensorFlow deep learning autoencoder to detect IoT attacks including botnet infections, DDoS, and ransomware. Includes 5 autonomous investigation tools.
Real-time client-side evaluation of password complexity, Shannon entropy, keyboard pattern, and Have I Been Pwned breach validation via API using k-anonymity.
Interactive mitigation tool and security dashboard simulating adaptive progressive lockouts, IP threat tracking, and real-time defense against brute-force intrusion attempts.
Developed a machine learning-powered email threat classifier that categorizes messages into five types: phishing, malware, BEC, spam, and safe using a Random Forest classifier and NLP pipeline.
Architected a secure full-stack authentication platform. Pairs a Node.js/Express backend handling authentication logic and SQLite integration with a React frontend.
Interactive OWASP Top 10 security assessment web platform for startup applications covering 5 attack surfaces with live interactive vulnerability demos and automated PDF report generation.
Check whether TCP ports are open or closed on any host. Designed with a custom Flask/Python scanning backend and a responsive vanilla JS frontend.
File obfuscation tool implementing access control logic, key-based scrambling, and metadata hashing to prevent unauthorized access and data exfiltration.
Automated network reconnaissance and vulnerability mapper wrapper. Scanned hosts using Nmap, resolved active services, and cross-referenced threat feeds.
Threat intelligence parsing and secure compliance scanner utility mapping systems against GRC requirements, evaluating confidentiality, integrity, and availability.