$ whoami — Engineering Manager · ANZ · Melbourne

Building reliable systems & the teams behind them.

Engineering Manager at ANZ, Melbourne. I write about distributed systems, quality engineering, and putting agentic AI to work across the software delivery lifecycle — with the evaluation and human-in-the-loop guardrails that keep it safe in production.

// Featured Writing

• genaiai-agents

  Containing AI Agents at the OS Level: A Hands-On Look at Microsoft's MXC SDK

  Microsoft's MXC SDK wraps model-generated agent code in policy-driven OS sandboxes — what it isolates, how to wire it up, and where the early preview falls short.

  16 Jun, 2026
• llmobservability

  Evaluating an LLM Agent Like Real Software: Observability and Evals with Langfuse

  A vibe-check isn't a test. How to trace, score, and gate an LLM agent with Langfuse — and the silent escalation regression evals catch that a demo never would.

  12 Jun, 2026
• genaillamaindex

  Fine-tuning Generative AI Models: A Practical Guide with LlamaIndex and Modern Frameworks

  Explore the latest techniques for fine-tuning generative AI models using LlamaIndex, Hugging Face Transformers, and parameter-efficient methods like LoRA and QLoRA. This guide covers everything from data preparation to deployment, ensuring your AI applications are contextually relevant and efficient.

  22 Jul, 2025

// Topics I write about

• genai
• LLM
• rag
• mcp
• testing
• kafka

• genaiintent-classification

  Building Robust Intent Classifiers with Generative AI: A Modern Approach

  Discover how to leverage generative AI models like GPT, Gemini, and Claude to build sophisticated intent classifiers that power next-generation AI applications and multi-agent systems.

  29 Jun, 2025
• genaiprotocol

  The Unseen Engine of Modern AI Agents: A Deep Dive into JSON-RPC

  Explore how JSON-RPC serves as the backbone for modern AI agents, enabling seamless communication and integration across diverse systems.

  20 Jun, 2025
• genaiprotocol

  Model Context Protocol The "USB-C" for AI

  Anthropic's Model Context Protocol (MCP) is a groundbreaking open standard poised to revolutionize how we build and interact with AI, often hailed as the 'USB-C for AI'.

  10 Apr, 2025
• mathematicsprogramming

  Essential Mathematics for Better Programming

  This guide explores the fundamental mathematical concepts that every programmer should know to improve their programming skills.

  6 Jan, 2025
• golangvscode

  VS Code Setup for Golang Programming

  This guide walks you through creating the perfect VS Code setup for Go development in 2025.

  5 Jan, 2025