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About

Where I sit, what I write about, and why.

Background

I'm a self-taught technologist who became Group CTO without a CS degree. Built production SaaS solo and now run technology for a billion-dollar PE-backed retail holding company.

My work sits at the intersection of AI operationalization (making AI work in production, not demos), technical leadership (especially in PE portfolio dynamics), and quality systems (applying rigorous measurement to inherently fuzzy problems).

Positioning

2x2 positioning matrix showing high operational depth and high technical rigor

Most content either has operational experience without rigor, or theoretical rigor without real-world deployment. I aim for both.

What I Write About

Content pillars: AI Operationalization and Technical Leadership as primary, Quality Systems and Self-Taught Path as supporting

AI Operationalization

How to actually deploy AI in production. Quality tiers, P&L mapping, graduated autonomy, teaching stakeholders what AI can and can't do.

Technical Leadership

PE portfolio dynamics, turnarounds, M&A integration, building engineering organizations. The operational side of being a technology executive.

Quality Systems

Applying rigorous systems thinking to software. Metrics as gradients, quality topology, convergence properties. My differentiator.

Self-Taught Path

Career journey without credentials. Learning systems, skill acquisition, navigating technical leadership without the traditional background.

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