AJ Bajada

AJ Bajada

Arinco, Practice Manager

Melbourne, Australia

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I’m an Azure, DevOps and AI enthusiast with more than 15 years of industry experience. My career began in infrastructure and cloud automation, but my focus has evolved toward the rapidly growing world of AI‑powered engineering. Today, I specialise in bringing intelligence into the software delivery lifecycle, helping teams move beyond traditional pipelines and embrace agentic workflows, continuous AI and modern development practices.

I have a strong foundation in Microsoft technologies and a passion for building solutions that enhance the developer experience. Whether it’s integrating AI into existing platforms, modernising engineering processes or exploring new patterns for automation, I enjoy working at the intersection of cloud, DevOps and intelligent systems. I’m also committed to community involvement through speaking, open‑source contributions and knowledge sharing.

Outside of work, I’m a lifelong nerd and a big Star Wars fan. When I’m not experimenting with Azure or GitHub, I’m usually sharing my other passions with family and friends.

Area of Expertise

  • Information & Communications Technology

Topics

  • Microsoft Azure
  • DevOps
  • Azure IaaS
  • Azure AI

Agentic Workflows The Next Evolution of CI/CD

Agentic workflows are reshaping how engineering teams build, test and ship software. Traditional CI/CD pipelines gave us automation and consistency, but they were never designed for a world where AI can reason, adapt and act with context. This session explores how continuous AI represents the natural evolution of CI/CD, moving from static pipelines to intelligent systems that can analyse code, make decisions and orchestrate complex tasks across the development lifecycle.

The talk is built around live demonstrations that show agentic workflows operating inside real repositories. Attendees will see how these workflows integrate with existing development practices, how they collaborate with engineers, and how they unlock new patterns for testing, refactoring, optimisation and operational resilience. The goal is to show that agentic automation is not a future concept but something teams can adopt today to realise immediate and meaningful benefits.

This session offers a practical and forward looking view of what comes after traditional automation and how continuous AI will redefine the way modern teams deliver software.

Turn GitHub Copilot into your ultimate Azure sidekick

Ever wished you could chat with GitHub Copilot about your Azure resources like it’s your personal cloud assistant? Well, we’re making that a reality!

We’ll dive into the Azure MCP server, show you how to connect it to GitHub Copilot, and unlock a whole new way to interact with your cloud environment. Imagine asking Copilot about your virtual machines, databases, or security settings—and getting instant, AI-powered insights. No more digging through endless dashboards or documentation—just ask, chat, and get things done.

Expect live demos, practical tips, and a glimpse into the future of AI-driven cloud management. Whether you're a developer, cloud engineer, or just someone who loves cool tech, this session will show you how to turn GitHub Copilot into your ultimate Azure sidekick.

Revolutionising DevOps with AI: From Pipelines to Deployment

In the rapidly evolving world of technology, the fusion of AI and DevOps is transforming how we build, test, and deploy applications. Join us for an engaging and insightful session where we delve into the cutting-edge integration of AI in DevOps pipelines.

In this session, we will explore:

- Building AI-Powered DevOps Pipelines: Discover how to leverage AI to enhance your DevOps workflows, automate repetitive tasks, and improve efficiency.

- Integrating Lint Tests: Learn the importance of linting in maintaining code quality and how AI can streamline the process by integrating smart lint tests into your pipeline.

- Deploying AI Infrastructure and Models: Gain insights into deploying scalable and secure AI infrastructure on Azure, ensuring your AI models perform optimally in production environments.

- Adding PSRule for Azure: Understand the role of PSRule in enforcing governance and compliance standards within your Azure environment, and how to integrate it seamlessly into your DevOps practices.

AJ Bajada

Arinco, Practice Manager

Melbourne, Australia

Actions

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