One operator. AI in the toolchain. Senior work, no layers.

I build AI-native systems for mid-market and scale-up teams. Strategy, data platforms, AI systems, product engineering. When a client needs a senior technical partner, they get me.

I also work as Lead Research Manager at AE Studio's alignment team, leading applied AI safety research. The work spans mechanistic interpretability, sparse autoencoders, gradient routing, deception detection, and evaluations of LLM subjective experience. That research pulls me into the current shape of the field daily, which is why the systems I ship for clients reflect what is actually in production at the frontier, not last year's patterns.

External signals beat marketing copy. Below are public references for the research and team work, for buyers who want to verify the credentials before a discovery call.

Most consultancies solve scaling by building a pyramid: partners sell, directors manage, senior engineers translate, juniors ship. For software where the right call changes weekly, the translation layer is where the project dies.

One senior operator, AI in the toolchain, can now deliver the same amount of work a small team used to. The client gets the senior judgment; the project gets the velocity. The translation layer stops being a tax.

I write clearly, I commit code the same day I promise it, and I flag risks before they are problems. The work is visible in a shared repo and a shared project board from day one.

I am Canadian, based in Canada, and I work with clients across North America, Europe, and the UK.