An early-career developer based between Toronto and Abu Dhabi, working across machine learning and offensive security.
Most of my work so far is on the ML side, from a reverse-mode autograd engine to demand forecasting and applied deep learning. On the security side I build and test things in isolated labs, including a Modbus protocol fuzzer for ICS/OT research. I like understanding systems a layer deeper than the task strictly requires.
Right now I'm preparing for the OSCP+ certification and pointing my work toward AI red teaming, where machine learning and offensive security meet.
Certifications and awards so far, alongside the competitions I'm currently working through.
I'm preparing for OSCP+ and practicing CTFs while steering my machine-learning work toward adversarial and security testing.
Foundations in CS, plus a Western Scholarship of Distinction.
A design-meets-code program where my ML and security interests started to converge.
Shipped tensorgrad, wasel, and a bike-share demand forecaster, and took 1st runner-up at NASA Space Apps Toronto.
Sharpening my offensive-security skills ahead of the July 2026 exam, and aiming my work toward AI red teaming.
Internships, collaborations, or an interesting problem in machine learning and security. I read everything and reply.