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.

Writing

Latest articles

Building AI-Native Engineering Teams Without Losing Engineering Discipline

AI-native engineering is not about replacing engineers with prompts. It is about redesigning the development system so small, senior teams can use AI across planning, design, implementation, testing, review, and operations without losing control of architecture, quality, or security. This article explains how founders and technology leaders can combine Domain-Driven Design, spec-driven development, TDD, curated context, and automated guardrails to ship products in weeks rather than months while keeping the codebase maintainable and production-ready.

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.

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

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)

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.