Ray Evelyn / Infrastructure engineer

The infrastructure
behind what's next.

I bring network, cloud, and reliability engineering to my work with AI. My focus is practical: repeatable platforms, observable systems, and a clear path from an idea to something people can use.

Exploring AI infrastructure, platform engineering, SRE, and forward deployed engineering opportunities.

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Ray Evelyn

Networks → platforms → AIAlways building.

AI infrastructure

Model serving, retrieval workflows, and the systems around AI applications.

Platform & reliability

GitLab CI/CD, infrastructure as code, observability, and repeatable operations.

Cloud & networking

The connectivity, compute, and operational foundations that platforms depend on.

Selected work

Ideas, connected to infrastructure.

Explore the portfolio

Conceptual system overview

VoiceRetrievalAI

Voice applications · context · inference

VoiceRAG

Connecting voice applications with AI: retrieval, model serving, and the infrastructure that supports them.

  • AI
  • Python
  • vLLM

Conceptual system overview

NetworkControl planePostgreSQL

Inventory · reviewed workflows · state

NetSpinUp

Network and infrastructure automation with a PostgreSQL foundation, bringing repeatable workflows to complex environments.

  • Network Engineering
  • PostgreSQL
  • IaC

Conceptual system overview

PortalWorkflowsCloud

Service catalog · lifecycle · providers

CloudSpinUp

Work on a cloud service catalog, compute lifecycle workflows, and provider integration across infrastructure environments.

  • Cloud
  • Terraform
  • CI/CD

Tools & foundations

Built on solid ground.

Cloud, networking, automation, and AI are connected disciplines. These are the technologies and practices at the center of my work.

  • AI
  • Kubernetes
  • Supabase
  • Network Engineering
  • AWS
  • Azure
  • GCP
  • Aviatrix
  • Terraform
  • CI/CD
  • IaC
  • GitLab
  • Python
  • vLLM
  • PostgreSQL
  • Proxmox
  • Grafana

Notes from the work.

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