01
AI Safety
AI collusion research sprint
Team research sprint with Apart Research on collusion between AI systems.
View on GitHub →
[ 00 ] Portfolio — 2026
Het
Het
Kotadiya
Cybersecurity master's student focused on AI safety — helping make advanced AI systems safe and reliable. I also work in security and OSINT: investigative work, finding what's hidden in plain sight.
AI Safety
Cybersecurity
OSINT
Status
Open to remote roles
AI safety · Research · Security
Main focus
AI safety
Understanding how AI systems can fail, and helping make them safe.
Signal / noise
OSINT — finding patterns in public data.
Education
M.S. Cybersecurity
DePaul University
Nov 2025 — Nov 2026
Selected work
[ 01 — 02 ]
02
Capstone
M.S. capstone project
Cybersecurity capstone at DePaul University. Details coming soon.
View on GitHub →About
[ now ]
About
I'm a cybersecurity master's student at DePaul University. My main interest is AI safety — understanding how AI systems can fail or behave in unexpected ways, and helping make them safe. I also work in cybersecurity, and I've been drawn to OSINT and investigative work since I was a kid.
Remote only
Now
Finishing my M.S. in Cybersecurity at DePaulNOV 2026
Going deeper into AI safety researchONGOING
Contact
Let's talk.
Open to remote roles in AI safety, research and security.