Most people pick a lane — security or AI.
I refused to. My tools sniff packets and think for themselves.
My exploits are shaped by the same math that powers machine learning.
CRTA certified. Flags captured. Shells popped. Bugs reported.
Currently obsessed with one question: what happens when the attacker is the model?
Final-year ECE student at RGUKT who took a deliberate detour into offensive security and never looked back. What started as curiosity about how systems break evolved into a full-stack obsession — pentesting, CTFs, reverse engineering, and a nagging question: what if the attacker had a brain of its own?
That question led me to build ML-powered security tooling from scratch. Not for the resume line — because I genuinely believe the next wave of threats will be automated, adaptive, and fast, and the defenders who survive will be the ones who built for that reality early.
Between internship shifts I'm grinding HTB machines, reading CVE advisories like morning news, and winning the occasional CTF. The terminal stays open.
Got a box that needs breaking? A team that needs someone at the intersection of
offensive security and machine learning? A CTF you want to run the table on together?
I'm actively seeking internships and full-time roles where I can do
genuine red team work — not just tick compliance checkboxes.
If that sounds like your organization, let's talk.