Interviews, LinkedIn articles, and external publications on enterprise security, cloud transformation, Zero Trust, and the practical use of AI.
April 2026
An interview focused on AI-era security, data governance, Copilot risk, agent oversight, and why Zero Trust now extends directly into permissions, content exposure, and AI operations.
January 2026
A LinkedIn article framed as a short story, using a fictional senior consultant to reflect on security themes through a narrative lens.
September 2025
A LinkedIn article on how LLM-assisted software delivery shifts the main engineering constraint from code generation to validation, review, and verification.
September 2025
A narrative LinkedIn piece set against the late-2010s immersive-tech boom, mixing fiction and reflection from the viewpoint of a senior consultant.
September 2025
A LinkedIn article listing open engineering and technical roles in Microsoft UK, including AI, data platform, and solution engineering positions.
August 2025
A LinkedIn article sharing a set of Microsoft UK technical openings, with emphasis on AI engineering and other advanced product and platform roles.
July 2025
A LinkedIn article describing a framework for improving LLM output quality through structured customization, clearer instructions, and stronger response shaping.
April 2025
An interview on enterprise resilience, Zero Trust architecture, cloud operating models, endpoint modernisation, XDR, and the practical guardrails required for safe AI adoption.
February 2025
A LinkedIn review of Nathan Hunter's book on prompt engineering, focused on the growing importance of communicating effectively with AI systems.
February 2025
A LinkedIn reflection on The Coming Wave, looking at technological change through the lens of long-term digital and AI revolutions.
January 2025
A LinkedIn review of a Windows 365 book, written from the perspective of a practitioner rooted in infrastructure, servers, and endpoint management.
January 2025
A LinkedIn article exploring the technical and theoretical challenge of estimating how much GPU capacity might be needed to approach brain-scale AGI.