Secure AI Architecture on AWS

I help organizations design production-ready AI systems on AWS, with strong architecture, clear control boundaries, and built-in security.

Services

Advisory and architecture services

AI Architecture & Readiness Assessment

For organisations that need an expert review of AI architecture, delivery risks, and production readiness before scaling further.

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Secure AI Systems on AWS

For organisations that need secure, governable, production-ready AI architecture on AWS.

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AI Agent & Automation Advisory

For teams designing agent workflows and automation systems that need clear boundaries, oversight, and operational reliability.

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Fractional Chief Architect

Retained architecture leadership for organisations navigating complex decisions across AI, AWS, security, and platform evolution.

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Writing

Latest articles

No Backend Needed: Running Python in React with Pyodide

A step-by-step guide to integrating Pyodide into a React + TypeScript + Vite app, loading Python packages like NumPy and Matplotlib in the browser, and generating client-side data visualizations from CSV revenue data.

Neo4j Cypher Cheat Sheet

Curious how Neo4j and Cypher stack up against traditional SQL? This post takes the classic Northwind database and reimagines it as a graph, offering a practical cheat sheet that translates common SQL queries into Cypher. Learn how graph databases simplify complex relationships, reduce the need for joins, and offer a more intuitive way to explore connected data—complete with side-by-side query comparisons and real-world use cases.

Debugging DllNotFoundException on Linux and Containers or DLL Hell in 2023

How to debug runtime exceptions like 'System.DllNotFoundException: Unable to load shared library 'libSkiaSharp' or one of its dependencies. In order to help diagnose loading problems, consider setting the LD_DEBUG environment variable: Error loading shared library liblibSkiaSharp: No such file or directory' on Linux or containers

About

Who I work with

I work with organizations making important decisions across AI, AWS, security, and production readiness — especially when internal complexity is growing faster than architectural clarity.

  • Teams moving AI from experimentation into production
  • Organizations building secure, governable AI systems on AWS
  • Leaders managing architecture, security, and scale at the same time
  • Companies that need sharper technical judgment before complexity compounds
More about me

Track record

Selected experience

  • Designed secure AI and cloud operating patterns for regulated and production-grade workloads, including identity boundaries, deployment controls, logging, and review gates.
  • Built and reviewed AI agent designs for enterprise use cases, including governance, control boundaries, and production readiness.
  • Led AWS architecture work across security, scalability, resilience, and cost optimisation.
  • Advised senior stakeholders on architecture decisions across AI, cloud, platform modernisation, and security.

Speaking & publications

Selected talks

  • Reconstructing the Past with Knowledge Graphs: Empowering Historians through Neo4j and GenAI (FOSSASIA Summit 2026)
  • Unlocking the Power of Graph Databases with Neo4j (FOSSASIA Summit 2025)
  • Connected: Solving Real-Life Problems Using Python and Graph Databases (PyCon ID 2023)

Publications

  • Zero Trust Security Architecture for AI Agents in Cloud Environments (Cyber Security: A Peer-Reviewed Journal, Coming soon)
  • Differences between traditional network security and security in the cloud (Cyber Security: A Peer-Reviewed Journal, 2025)
  • Node.js Security (Cyber Security: A Peer-Reviewed Journal, 2017)
View all speaking and publications

Need clarity on AI architecture or production readiness?

Explore my services or get in touch if you’re evaluating an AI initiative, refining your architecture, or moving from experimentation to production.

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