I am a software engineer focused on Kubernetes platforms, developer infrastructure, and the control-plane machinery behind GPU-heavy cloud environments. I like systems that make hard operational work feel boring in the best possible way.

I build infrastructure and developer tooling for Kubernetes-based GPU cloud environments. My work sits between platform engineering, infrastructure operations, and product engineering: deployment systems, service foundations, cluster interfaces, observability, and the control-plane pieces that make large systems easier to operate.

At Lambda, I helped deploy the company’s first Kubernetes cluster and scale its internal infrastructure to more than 15 clusters across cloud and on-premises datacenters. I now focus on helping product and infrastructure teams use Kubernetes effectively, deploy reliably, and spend less time carrying operational detail in their heads.

My academic background is in philosophy, mathematics, and computer science, with graduate work in philosophy of science, formal logic, and computability theory.

experience
  • Senior Software Engineer, Platform · Lambda 2023 - present

    Building Kubernetes platforms, service foundations, and infrastructure tooling for a GPU cloud provider.

education
  • MA Philosophy · Carnegie Mellon University 2022

    Social and political philosophy, decision theory.

  • BS Computer Science, BS Mathematics · University of Maryland 2020

    Formal logic, computability theory, philosophy of science.

stack
gopythonkubernetesargocdterraformawslinuxnatspostgresqlopentelemetry