Expertise
Six disciplines, one habit: go deeper than the problem requires. The work spans from kernel-mode drivers to the model layer, with product and leadership earned by founding companies.
Detection engineering at the operating system boundary.
Building the sensors and logic that watch a machine from the inside: what runs, what it touches, and whether it should be allowed to.
Reading what was never meant to be read.
Taking compiled software apart to understand intent, find weaknesses and build defences that hold.
Ring zero, where mistakes are unforgiving.
Writing code that runs beneath everything else, where correctness is not optional and every line is accountable.
Know the adversary better than they know themselves.
Dissecting malicious code to understand behaviour, extract indicators and turn findings into detections.
Products on top of models, not demos.
Applying machine learning and large models to real problems at Mu AI Labs, with the engineering rigour to keep them reliable.
Nearly a decade of shipping.
Founding ventures, leading teams and taking products from idea to users, from IoT programmes to AI companies.
Toolbox
It is not a feature to be added later. It is a property of how something is built. The deepest defences are the ones that were never bolted on.