$ whoami — Engineering Manager · ANZ · Melbourne
Building reliable systems & the teams behind them.
Engineering Manager at ANZ in Melbourne, building cloud-native systems for digital banking. I write about distributed systems, cloud-native architecture, quality engineering, and hands-on experiments with Generative AI.
Featured Projects
all_projects →-
HybridTestFramework
A comprehensive cross-platform test automation framework supporting Web, Mobile, API, and Database testing with parallel execution capabilities.
Java Selenium Appium TestNG -
MobileTestFramework
Advanced mobile testing framework for iOS and Android applications with cloud device farm integration and parallel execution capabilities.
Java Appium TestNG BrowserStack -
CypressTestFramework
Modern end-to-end testing framework built with Cypress for fast and reliable web testing with advanced reporting.
JavaScript TypeScript Cypress Mocha
Recent Posts
all_posts →- 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.
- genaivector search
RAG is Not Always Vector Search! Debunking a Common Misconception in Generative
This blog post explores the misconception that Retrieval Augmented Generation (RAG) is synonymous with vector search, highlighting the diverse retrieval methods available for effective RAG implementations.
- 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.
- 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.
- 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'.