Personal
What I'm currently working on, learning, and reading.
Currently
- Writing a paper on the results of my Bachelor’s thesis: ML-based NIDS for Industrial IoT running at the edge.
- Teaching myself mechanistic interpretability — working through the SPAR curriculum, with How to become a mechanistic interpretability researcher as my roadmap into AI safety.
Courses in progress
- Stanford School of Engineering — Advanced Cybersecurity Program
- Johns Hopkins University — AI for Cybersecurity
Reading
- Probabilistic Machine Learning — Kevin Murphy’s book series.
- Farenheit 451 — Ray Bradbury’s classic dystopian novel.
Building & breaking
- Running a home lab — self-hosting to keep my data private and taking things apart to learn how they work.
- Sharpening offensive-security instincts on Hack The Box.
Curious about
- Fintech, regulatory compliance, and the startup / VC landscape.
Off the screen
- Running and the gym, to reset between deep-work sessions.