The agent writes the code.
The engineer owns the outcome.
I lead AI transformation for a global SaaS platform — an entire engineering org adapting to a world where AI performs the execution and humans stay accountable for the outcome. I build systems that investigate bugs, write and review code, validate changes, and run operational workflows — replacing repetitive execution, not people. I write what I learn redesigning how engineering work actually gets done. Written for engineering leaders and senior operators. Deep-end only.
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How I work
Embed
I work inside your team — your codebase, your incidents, your constraints.
Ship one
I build the first system and put it into production, not a demo.
Prove it
We measure it against the work it replaced: real time, real budget.
Make it repeatable
The version that works becomes a capability your org owns and runs without me.
Not advice from a deck. Advice from the seat — backed by a system in production.
I still lead this work every day: building AI systems that investigate bugs, review code, and run operational workflows. The engagements I take come from that seat — the org-level practices that actually hold up, not tool training. A few at a time.
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