I'm a technologist based in Denver, Colorado, obsessed with tinkering. When I'm not with my family or getting outdoors, you'll find me in my homelab experimenting with GPU clusters for LLM inference, optimizing Kubernetes deployments, or testing CNCF projects to see which ones actually deliver. I'm a Senior Engineering Manager of Foundation at Strava, and I've spent the last decade helping fast-growth startups navigate technical challenges at scale. I write here about what I'm actually building: AWS cost optimization that drives 40%+ savings, AI/ML infrastructure in production, cloud architecture patterns that work under pressure, and the real experience of working with emerging technologies (not the conference talk version). I consult on cloud infrastructure, AI implementation, and Kubernetes management for companies that need systems to work reliably at scale.
If you’re a CTO or engineering lead making framework decisions in 2025, you’re probably evaluating based on familiar criteria: performance, ecosystem maturity, team expertise, hiring pool. Those still matter. But…
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