About
Computer Engineering student with hands-on exposure to OSINT, digital forensics, malware analysis, and offensive security. Builds Python-based security tools and research projects focused on LLM security, vulnerability detection, and automated security testing.
Experience
-
Cybersecurity InternAmroha Police Cybersecurity InternshipJun 2026 – Jun 2026
Conducted hands-on investigations involving OSINT, Windows and mobile forensics, malware analysis, and APK security analysis. Performed threat research using Maltego, Shodan, FOFA, and VirusTotal, with security testing using Burp Suite, Metasploit, MobSF, and Wireshark. Gained practical exposure to dark web investigations, hardware hacking, blockchain security, and offensive security methodologies.
Education
-
Bachelor of Technology (B.Tech.)Computer Engineering · Aug 2024 – May 2028
Skills
Tools / apps / platforms
Projects
-
Python
Developed a Python tool to assess password strength using entropy, complexity, and dictionary-based checks. Generated security recommendations based on identified weaknesses.
-
Python
Developed a Python tool to parse Linux SSH authentication logs and detect failed login attempts and suspicious authentication patterns. Generated summarized authentication events to support basic security monitoring.
-
TryHackMe, AI Security
Documented hands-on solutions and technical learnings from TryHackMe Cyber Security 101 and AI Security rooms. Maintained a GitHub repository containing writeups, methodologies, commands, and security concepts.
-
Python
Developed an automated security testing tool for identifying prompt injection, jailbreak attempts, sensitive-information leakage, and other LLM security risks. Designed security test cases and generated structured security findings for repeatable assessment and reporting.
-
LLM-Powered Vulnerability Detection using RAGPython, sentence-transformers, ChromaDB, Anthropic/OpenAI API, Semgrep, Docker, GitHub Actions
Building a retrieval-augmented pipeline that embeds CWE/CVE reference data to detect and explain vulnerabilities in code snippets. Integrates LLM-based analysis, cross-validates findings against Semgrep, and automates evaluation runs via GitHub Actions CI.
⚽ Extracurricular activities
-
Member, AUV Club, ZHCET, AMU
Supported logistics and coordination for the ROVC project team and collaborated with multidisciplinary teams during technical activities.