About

I build products and companies around hard technical problems. I’ve always believed that persistence is what turns the impossible into something that matters.

Most of my career has been spent at the boundary between deep systems engineering and the people who need to use it - helping turn complex infrastructure into products that developers can adopt and organizations can scale. I co-founded Modular with Chris Lattner to make AI compute simpler and more portable across hardware. Modular joined Qualcomm in 2026, and I now serve as SVP and GM of Modular at Qualcomm. We are continuing to build an open, unified software platform for AI across CPUs, GPUs, and other accelerators.

Before Modular, I spent six years at Google in product leadership across TensorFlow, TensorFlow Lite, XLA & MLIR, on-device machine learning, and large-model infrastructure. I worked alongside engineering and research teams to connect different layers of the stack, shape products around real developer needs, and bring them into production at global scale.

Before Google, I founded startups in image recognition and food delivery both using machine learning and AI as early as 2009. One of them eventually brought my co-founder and me to Google.

I grew up in Australia and studied engineering, finance, and law in Australia and the United States. I moved to the United States in 2012 with nothing but a suitcase. Those experiences shaped how I think: invention matters, but so do product judgment, economics, and the institutions required to make an idea durable.

I write to think through questions about AI infrastructure, compute economics, energy, regulation, and the responsibilities that come with increasingly capable systems. I also invest in early-stage AI companies and enjoy helping technical founders turn ambitious ideas into enduring products.

I believe strong teams are built on trust, candor, empathy, and persistence. Leadership is earned by creating the conditions for talented people to do their best work.

A man with glasses speaking on stage during a presentation, with digital graphics and the letter 'M' on a large screen behind him.
At TED AI conference in San Francisco, four panelists are seated on stage in front of a large screen displaying their names and titles. The audience watches attentively, with some taking notes. A red TED banner stands on the right side of the stage.