I'm Max Hao.

I'm a Systems Engineer currently studying Mathematics and Computer Science at Rutgers University—New Brunswick. I believe there is an inherent elegance in designing things to scale, and I focus on building the maintainable infrastructure required to support resilient applications and services.

I'm an avid enthusiast for building cloud-native software, fundamentally treating infrastructure as code to leverage the scale and agility of modern cloud platforms. I am particularly interested in the operational trade-offs of microservice architectures—specifically, how to manage distributed state, network latency, and service communication effectively.

Beyond traditional infrastructure, I have a special interest in the intersection of machine learning and edge computing, with a focus on the constraints of machine learning operations at the edge. My research and projects focus on the engineering challenges of bringing intelligent computation to resource-constrained platforms, particularly model optimization, local execution constraints, and edge-to-cloud data loops.

As a proponent of open-source, building systems collaboratively and openly is one of my core values. I document my experiments and projects on my blog, Depld, where I write about the practical realities of building systems at scale.