Platform Engineer · Astrophotographer
I have spent the better part of two decades building and tending cloud infrastructure, now chiefly on Kubernetes, across studios, robotics firms, and semiconductor companies where the cost of a failed deployment is measured in dollars and reputations rather than hypotheticals. The work amounts to orchestration, observability, and the ceaseless diplomatic effort required to keep clusters solvent while developers invent new and inspired ways to exhaust them.
I am also, with considerable devotion, an astrophotographer. On clear nights I turn a telescope toward objects whose light has been in transit for millions of years, which is to say, long before anyone thought to orchestrate containers or argue about service meshes. The discipline of collecting photons from a faint nebula, knowing that most of your exposures will be ruined by atmosphere, satellites, or sheer cosmic indifference, cultivates exactly the sort of methodical patience that infrastructure demands. One learns very quickly that the universe does not care about your uptime targets, and that most of what you gather, in data as in starlight, is noise that must be rigorously discarded before anything useful remains.
Senior DevOps Engineer at Silicon Labs (2025–present)
- Kubernetes and Nomad orchestration across cloud and on-prem environments
- Observability with Prometheus, Mimir, Loki, Alloy, and Grafana
- GPU infrastructure automation for AI/ML workloads
- Leading the migration from Jenkins to GitHub Actions, a process that rewards the archaeologist's temperament and punishes the impatient in equal measure
- CI/CD enablement across the organization, ensuring that teams ship with confidence and pipelines remain something people trust rather than endure
- Platform engineering for development teams who would, in a just world, appreciate it more
Infrastructure: Kubernetes (GKE, EKS, k3s) · Terraform · Ansible · Vault · Docker · GitHub Actions
Observability: Prometheus · Thanos · Mimir · Loki · Grafana · Datadog
Languages: Python · TypeScript · Bash · Go
Astrophotography: Telescope automation · FITS processing · Computer vision pipelines
Silicon Labs (2025–present) · Senior DevOps Engineer Cloud and on-prem Kubernetes, Nomad, observability platforms, GPU automation, Jenkins-to-GitHub Actions migration, CI/CD enablement.
Fox Robotics (2024–2025) · Senior Robotic Infrastructure Engineer Observability for 100+ autonomous edge devices on GKE with Prometheus and Thanos.
The Walt Disney Studios (2022–2024) · Senior Site Reliability Engineer Render farm pipelines for Marvel post-production. 95% deployment time reduction. AI/ML infrastructure for VFX.
Distributed systems fail in ways their designers rarely foresee, and the real craft of infrastructure engineering lies in making those failures predictable, recoverable, and quietly automatic. I prefer architectural decisions grounded in evidence and operational reality, where every abstraction earns its place through demonstrated value rather than accumulated enthusiasm.
Astrophotography reinforces this disposition. A telescope pointed at the Orion Nebula will produce, over several hours, hundreds of frames in which the interesting signal hides beneath thermal noise, light pollution, and atmospheric distortion. The work is in the sorting, the stacking, the patient extraction of what the data actually supports from everything that merely looks plausible. Infrastructure engineering follows the same principle, and I find that the discipline required for one sharpens the instincts needed for the other.