Writing & Notes

Selective publishing, when the work is worth sharing.

Writing grows out of practical work: technology leadership, data governance, AI governance, cybersecurity, architecture and operations. Articles are published selectively when they remain useful beyond the original problem or discussion.

Experience

Start with real work

Delivery experience, interview preparation, technical investigation, learning and operating problems come first.

Structure

Turn useful patterns into something reusable

Where a lesson has value outside the immediate context, it may become an article, framework, playbook, reference note or interactive tool.

Publish

Use the platform that fits the material

Short practical pieces go to DEV, deeper architecture and governance work to Hashnode, and selected longer-form thinking to Medium.

Hashnode · Enterprise Architecture

Enterprise APIs: The Architecture Is Only Half the Story

A leadership-level view of APIs as architecture boundaries, security controls and operational products covering identity, gateways, observability and ownership.

Read on Hashnode →

Medium · Technology Leadership

When to Delay a Go-Live: A Date Is Not a Control

Why objective readiness gates, transparent escalation and business outcomes matter more than protecting an arbitrary production date.

Read on Medium →

Medium · Technology Strategy

Before You Buy Another Platform, Rationalise the Technology Estate

A practical approach to simplifying systems, suppliers, cost and support load before adding another layer of technology.

Read on Medium →

DEV · Data Governance

Data Classification Without Turning It Into Bureaucracy

A practical way to connect classification to real handling decisions, ownership, controls and downstream use without creating unnecessary process.

Read on DEV →

Hashnode · Data Architecture

Data Lineage & Dependency Mapping

A deeper look at lineage as a governance and architecture control covering provenance, transformations, dependencies, quality, third parties and AI.

Read on Hashnode →

Medium · AI Governance

From AI Governance Frameworks to Something You Can Actually Use

Moving from high-level responsible AI principles to practical assessment, decision-making and governance that can operate in a real organisation.

Read on Medium →

Hashnode · Data & AI Governance

From Data Ownership to AI Readiness

Why practical AI governance depends on stronger foundations in ownership, classification, quality, lineage and normal data-management controls.

Read on Hashnode →

DEV · AI Governance

12 Questions to Ask Before You Call an AI Use Case Ready

A concise pre-implementation checklist covering value, data, platform risk, human oversight, security and lifecycle governance.

Read on DEV →

DEV · Windows Administration

Making Windows 11 Feel a Little More Familiar with PowerShell

Conservative PowerShell-based changes focused on familiar Windows behaviour rather than broad debloating or weakening platform security.

Read on DEV →

Data Governance Toolkit

Focused practical guidance connecting data classification, lineage and governance decision rights through the model: Classify → Trace → Govern.

Explore Data Governance Toolkit →

Technology Leadership

Practical perspectives and case studies covering strategy, transformation, M&A, delivery, resilience, architecture and operating models.

Explore Technology Leadership →

AI Governance

Practical frameworks and resources for governed AI adoption, use-case assessment, data controls, oversight and responsible enablement.

Explore AI Governance →

Technical & Leadership Library

Case studies, playbooks, frameworks and technical resources organised by capability rather than publication date.

Explore Resources →

Different platforms, different depth.

The website is the curated executive-facing hub. GitHub is the canonical source for reusable frameworks, templates, tools and version history. DEV, Hashnode and Medium are used selectively for articles, while Hugging Face hosts interactive demonstrations and practical assessment tools.