What I Do
Where I add the most value and why.
Production-Grade Systems at Scale
I have owned and evolved services that handle millions of users across security-critical, high-availability environments. Correctness, durability, and operational excellence are non-negotiable constraints I design around from day one - not concerns retrofitted after launch.
Resilience and Security by Design
I build with failure in mind. FMEA analysis, fault injection, circuit breakers, and graceful degradation are part of how I validate systems before they ship. Security and reliability are architectural decisions, not layers added at the end.
Observability as a Feedback Loop
Metrics, distributed traces, and structured logs are the feedback loop that makes fast iteration safe. I instrument systems so teams can detect regressions before users do, understand system behavior under real load, and ship with confidence - turning observability into an agility multiplier, not just an incident tool.
Cross-Cutting Complexity
I am most effective owning systems that cut across product, infrastructure, and platform concerns - where the hard problems are about tradeoffs and alignment, not just implementation. I bring the context to make those calls well.
Data-Driven Operations
I use production telemetry to drive engineering decisions. Capacity planning, SLO definition, performance tuning, and incident prevention are all grounded in real data. I have used platforms like Wavefront and Splunk to build the visibility that separates reactive firefighting from proactive engineering.
Technologies
Tools and platforms I reach for to get things done.
Languages
Frameworks & Libraries
Cloud
Infrastructure
Data & Streaming
Observability
APIs
AI / ML
Platforms
Specialties
How I Work
The principles and practices I bring to every engagement.
What I'm Building
Projects I've been heads-down on for the past few months.
Studio Cavan
↗ studiocavan.comA software and AI studio focused on development, AI integration, and technical content. Building tools and products that make modern infrastructure and AI accessible.
blissful-infra
↗ blissful-infra.comEnterprise-grade local infrastructure in one command. Scaffolds a complete Docker Compose stack - Kafka, PostgreSQL, Redis, Prometheus, Grafana, Jaeger, Jenkins, and nginx - with a built-in developer dashboard for real-time log streaming, metrics, and pipeline status.
FodScan
↗ GitHubiOS app for low-FODMAP diet tracking. Scan barcodes or photograph ingredient labels to get instant compatibility verdicts. All analysis runs on-device - no data leaves your phone. Built with Apple Intelligence support for on-device explanations.
Recent Writing
Mar 27, 2026
Telemetry First: Measurement as Architecture
Performance regressions, cloud costs, AI tooling ROI - the common thread is teams making decisions without baseline data. Measurement is not optional, it is how good engineering decisions get made.
Mar 27, 2026
Cloudflare's Dynamic Workers: What Sandboxed AI Agents Actually Mean for Your Stack
Cloudflare just shipped runtime sandboxing for AI-generated code - 100x faster than containers. Here is what that actually means if you are building agentic AI workflows today.
Mar 27, 2026
Serverless in 2026: Another Tool Worth Understanding
A look at what serverless is good at, how Cloudflare Workers and AWS Lambda compare, and why real infrastructure still matters when things get serious.