Cybersecurity undergraduate · API security · Digital forensics · AI-agent security
I study Computer Science and Engineering with a Cyber Security specialisation at Sri Krishna College of Engineering and Technology, Coimbatore. My interests centre on API authorization, vulnerability research, and the reliability of evidence produced by autonomous AI agents.
I build security prototypes, practise responsible vulnerability research, and document how systems behave, where they fail, and what the evidence supports.
| Project | Focus | Status |
|---|---|---|
| APIForge | Specification-driven API testing with multi-user authorization checks and evidence-based reports | College team project; tool development has continued beyond the unpublished manuscript |
| AFRA | Evidence capture, dependency tracking, trust calibration, and bounded investigative verdicts for AI-agent incidents | Research prototype with a scripted demonstration; manuscript preparation/submission work in progress |
I collaborate on APIForge, a college team project for specification-driven API security testing. The current implementation combines multi-user authorization testing with selected JWT, SSRF, and configuration checks. Its manuscript describes an earlier version and is not yet published. The code is publicly available with the original team credits and commit history retained.
| Repository | What it contains |
|---|---|
| Phishing detection | Educational email classification and heuristic URL analysis with a web dashboard; original author credit retained in the README |
| Cloud network access control | AWS network segmentation and access-control project report |
| Cryptographic data exchange | Cryptography report and a small AES encryption/decryption demonstration |
Earlier work includes Cloud IDS, a log-analysis learning prototype, React exercises, and a Spring Boot REST API lab.
- Application security: REST APIs, object-level authorization, access control, OWASP testing, and clear vulnerability reports.
- Forensics and AI security: evidence provenance, prompt-injection scenarios, contamination tracking, and investigative limits.
- Tools and development: Python, JavaScript, Bash/PowerShell, Burp Suite, Wireshark, Nmap, Git, and Linux.
- B.E. Computer Science and Engineering, Cyber Security specialisation — SKCET, currently enrolled.
- CompTIA Security+.
- Cisco Ethical Hacking training.
- TryHackMe SOC Level 1 learning path.
Patent application filed: Hardware-Embedded System for Physical-Layer Peripheral Behavioural Trust Assessment and Adaptive Threat Mitigation, application 202641021638. Filed status; not a granted patent.
I am interested in cybersecurity internships and collaboration on API security testing and digital-forensics research. Reach me through LinkedIn or email.