Available for SA + AI roles
Clint Brown
Principal Engineer & Container Platform Architect
I design cloud-native systems and AI-ready infrastructure. This site is built with the same stack I'd propose to a client — Next.js, a ReAct agent loop, and an embedded vector store for semantic search.
Architecture Work
Case Studies
Real systems design problems, the constraints that shaped them, and the decisions that mattered.
AI-Ready Container Platform at Scale
Designed a multi-tenant Kubernetes platform supporting 200+ engineering teams — built with GPU node pools and workload isolation patterns applicable to ML inference workloads.
Multi-Cluster GitOps Pipeline
Architected a GitOps-driven deployment system across 3 cloud regions, reducing deployment lead time by 70% and establishing the foundation for MLOps pipelines.
Observability Stack for Distributed Systems
Built a unified metrics, logging, and tracing platform across hybrid infrastructure — patterns directly applicable to AI inference monitoring and LLM observability.
Agentic RAG Pipeline on Kubernetes
Greenfield architecture design: a production-grade RAG system with autoscaling inference, a vector store tier, and an agentic retrieval loop — designed but not yet deployed.
Background
About
Content coming soon. Based in Austin, TX.
Under the Hood
How This Site Works
Architecture walkthrough coming soon — ReAct agent loop, tool definitions, vector store, and system diagram.