// curiosity · raw materials · shipped
Builder of Platforms
& Things.
I build literal and figurative platforms — for fun. AI-native production systems, autonomous agents, and, last weekend, a launch pad for a giant trampoline.
What I'm building toward next — embedding with a team to ship AI-native systems: agents, MCP, and the platform infrastructure that makes them real.
currently building: TechBearing · Bricktelligence (iOS, soon)
01 — Work / AI Systems
Two production systems. Built and operated solo.
Architected end-to-end, running against live data. I embed, diagnose live, and ship the runbook that makes it never happen again.
TechBearing — Practitioner OS
Go / Next.js monorepo, ~14 services. An MCP server (SSE) exposing live operational data to AI agents, an AI coaching model, automated ingestion pipelines, and persistent-state architecture — self-hosted, in production.
› 14 services · live data · solo-operated
Bricktelligence
140K-line TypeScript / Next.js + React Native product on Supabase. A memory-driven RAG persona, an autonomous agent that scores & curates content via the Anthropic API on a daily cron, and a 13-source ingestion pipeline.
› live on iOS · 2026
Homelab k3s Cluster
Self-hosted k3s running GitOps workflows — a production-grade CNCF environment, including the OpenTelemetry demo. Backed by 9 CNCF certifications earned the hard way.
› 9 CNCF certs
02 — Solutions / Delivery
I deploy, debug, and harden systems in customers' production environments.
A decade embedded with enterprise engineering teams — from first POC through on-prem rollout to the runbook that makes it never happen again. I speak to an engineering team as a peer and to a CTO as a partner.
Deployment
Shepherd deployments — POC to production
I take a product from first proof-of-concept to stable production in a customer's environment — SaaS or on-prem — and put control procedures in place so rollouts don't become customer-facing issues.
Migrated Splunk / SignalFx / AppDynamics / Dynatrace stacks onto Datadog; codified repeatable deploys with Ansible.
Troubleshooting
Debug live customer environments
When something breaks in production, I investigate across APIs, integrations, containers, and networks — under delivery pressure — drive it to root cause, then partner with engineering to ship the fix.
Owned critical escalations as platform & API SME; resolved multi-month enterprise blockers to retain strategic renewals.
Kubernetes & on-prem
Deploy and secure on Kubernetes
Significant production Kubernetes — self-hosted and cloud — deploying, debugging, and securing containerized platforms, with the Linux and networking depth to chase an issue all the way down.
Self-hosted k3s + GitOps · KCSA, Cilium, Kyverno · AWS · Azure · GCP.
Monitoring & runbooks
Build the "never again" tooling
I build the tooling and runbooks that let customers monitor their own instances and catch problems before they escalate — turning a one-off fix into durable capability.
API-driven health scoring & recurring-issue detection from platform telemetry; field-pattern memos into product.
03 — Builds / Maker
Made from raw materials.
Wood, bricks, patience. Same instinct as the software.
04 — About
Insatiable curiosity, customer-centric by instinct.
I build literal and figurative platforms — for fun. A decade of customer-facing technical work taught me to speak to an engineering team as a peer and to a CTO as a partner. Somewhere along the way I started building the systems myself.
I write production Python, Go, and TypeScript, use AI coding tools daily, and treat “make it never happen again” as the actual deliverable. When I'm not shipping software, I'm making something out of wood or a few thousand bricks — same compulsion, different raw material.
05 — Writing / Notes
Build logs & runbooks.
06 — What's next
Embedding with a team to build AI-native systems that ship: agents, MCP, and the platform infrastructure that makes them real.
Curiosity included at no extra charge. If that's the problem you're solving, let's talk.
Let's build something.
Open to the right problem, the right team, the right table to build. If you've got one, I'd love to hear about it.