I'm a final-year B.E. Computer Science student (specialization in Cybersecurity) looking for security engineering roles and internships.
I've never been drawn to the well-trodden path. I like niche problems, puzzles, and finding out how far my own abilities go, and security rewards me all three every day. Like most people, I met hacking through movies. What kept me was the real thing: the rush of spotting the weakness nobody expected, then working out how to close it.
I enjoy web exploitation and digital forensics most, and I’ve used them in CTFs and in a client web-application penetration test during my training in Seoul. Now I'm working on memory-efficient naming and ML-based intrusion detection on Named Data Networking, as a research intern at IIIT Kottayam.
Indian Institute of Information Technology, Kottayam (IIITK) · Crime Research & Edge Intelligent Agents Lab
Researching Named Data Networking as a memory-efficient naming architecture for hospital IoT edge routers, evaluating memory use, cache performance and latency. Two NDN papers are in preparation for IEEE.
KRM Solutions, India
Built a deep-learning pipeline for 3D mesh segmentation, from synthetic data generation to model training, and integrated it into existing 3D asset workflows.
Cyber Lumen, MIST Academy · Seoul, South Korea · Full scholarship
Won a full scholarship through the international Cyber Lumen CTF. Ran a client web-application penetration test and documented SQL injection and XSS findings with remediation steps.
Sathyabama Institute of Science and Technology, Chennai
2023 – 2027