DevOps Engineer with 5 years of production cloud infrastructure experience at Storj Labs. After exploring advertising and creative work, I'm returning to DevOps with renewed focus on modern practices including GitOps, observability, and infrastructure automation through hands-on projects.
A full-stack dashboard using production-grade DevOps practices including GitOps with ArgoCD, observability with Prometheus and Grafana, secrets management with Vault, and CI/CD pipelines deployed on Google Kubernetes Engine. Built around a simple premise – tracking trending shows across streaming platforms – to demonstrate cloud-native architecture patterns.
📋 Technical Deep-Dive: Complete Architecture & Project Walkthrough
An AI gateway implementation that distributes LLM requests to the cheapest available cluster across external providers (OpenAI, Claude, Gemini) and LLMs self-hosted on Kubernetes clusters in AWS, GCP, and Azure. Routing based on cost, latency, and capability requirements. Features real-time cost calculation, health monitoring, and scale-to-zero capabilities.
📋 Technical Deep-Dive: Multi-Cloud Architecture & Cost Optimization
Key contributor to the design, development, and infrastructure of Storj's distributed cloud storage system from 2017 to 2022. My work spanned major improvements to auditing, data repair, monitoring, incident response, fault tolerance, and driving operational excellence across the team.