Anubhav Rajput

I’m a final-year B.Tech Computer Science student specializing in Cybersecurity and AI-driven Security Engineering. I build ML-powered security tools that apply machine learning for anomaly detection, malicious pattern classification, and threat intelligence automation.

I’m hands-on with both offensive and defensive security workflows, including penetration testing, vulnerability assessment, and web/network security. I use Python and ML tooling (scikit-learn, TensorFlow, Keras, NumPy, Pandas, NLP) alongside security platforms like Nmap, Burp Suite, Metasploit, Wireshark, and Kali Linux.

I contributed AI-enhanced security research to a 5,000+ star open-source repository, delivering 25+ context-aware, actionable recommendations using LLM prompt engineering and NLP techniques aligned with OWASP and NIST. I also have experience shaping AI-integrated security architecture—conducting technical discovery, defining scope and threat models, and evaluating ML frameworks and security tool integrations.

My projects reflect my focus on practical AI security: an AI-SOC that ingests Sysmon logs for real-time suspicious activity detection with MITRE ATT&CK mapping, and an LLMGuard framework that performs vulnerability assessment against prompt injection, jailbreaks, and indirect prompt attacks. I lead hackathon teams at national-level qualifiers and actively participate in CTFs, and I’m now seeking an internship/job at the intersection of Cybersecurity and Machine Learning / Artificial Intelligence.