curiosity · raw materials · shipped
// builder of platforms & things
Platform and solutions engineer who takes complex systems from customer POC to production — then builds the tooling, telemetry, and runbooks that keep them there. I ship production software, self-hosted infrastructure, and AI when it's the right tool.
Experience
10+ years customer-facing
Cloud native
10 CNCF certifications
Scope
architecture → operations
00 — Recruiter fast track / 30 seconds
I fit where complex infrastructure, product adoption, and hands-on engineering meet. I can earn trust in the customer environment, trace the real system, ship the capability, and leave behind the telemetry and runbook.
Strongest role fit
Senior / Staff Solutions Engineering · Platform Engineering · Technical Success Leadership
Customer → production
Technical delivery across support, DevOps, observability, developer platforms, and enterprise adoption.
Experience →
Platforms + agents
Production-minded software, MCP tool surfaces, RAG, durable memory, ingestion pipelines, and operational state.
Agent systems →
Cloud-native operations
Kubernetes, GitOps, storage, networking, observability, local AI, and failure modes operated end to end.
The Hive →
Reusable architecture
Extracted a shared AI-native product substrate, secured it, documented it, and made adoption executable.
Archivist Stack →
01 — Work / Systems
Architected end-to-end, running against live data. I embed, diagnose live, and ship the runbook that makes it never happen again.
A private homelab portfolio project: a Go / Next.js monorepo of ~14 services with MCP over SSE, operator decision support, automated ingestion, and persistent state—operated continuously for education, not offered as a public service.
An AI-native backlog manager for serious LEGO builders. Scan boxes, schedule weekends, track every bag, and ask an Archivist who remembers the collection and the person building it. Solo-built, ~140K lines of TypeScript, live on web and iOS.
A self-hosted platform spanning GPU inference, virtualization, 100+ TB of ZFS storage, and a nine-node Kubernetes cluster—built to run AI and cloud-native systems on infrastructure I own end to end.
One architecture extracted from three shipped products: entities, append-only events, lifecycle state, ingestion, retrieval, and grounded agent memory on a Next.js and Supabase spine.
02 — Solutions / Delivery
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
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
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
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
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 — Experience / Impact
A decade learning systems from the people who depend on them—then moving closer to the architecture, automation, and product decisions behind those systems.
01
Port
Jul 2025 — Present
Partner with enterprise engineering organizations adopting internal developer platforms, from technical discovery through measurable adoption.
7% → 18% adoption + customer-initiated renewal · second account → 60%
02
RapDev
Feb 2022 — Jul 2025
Designed and delivered enterprise observability migrations, integrations, and production troubleshooting across complex customer environments.
03
Connected2Fiber
Jul 2018 — Feb 2022
Progressed from the company's first support engineer into DevOps, building the infrastructure and tooling behind growing operations.
04 — Live systems / Public snapshot
A public-safe, read-only snapshot of the systems behind the work. “Attention” is not hidden—it is part of operating real infrastructure.
●3 operational · 2 attention
The Hive / k3s
●The control plane and eight workers are available; one worker is currently out of rotation.
GitOps / Argo CD
●Every declared application is synchronized with Git. Two applications are progressing.
Alpha-5 / Local AI
●The local model server, Open WebUI, and LibreChat are online on dedicated GPU compute.
TrueNAS / ZFS
●The primary ZFS storage pool is online and serving durable application and file storage.
Proxmox / Virtualization
●The virtualization host is online, running the core VM and container estate.
05 — Learning / CNCF
Couldn't find a study tool I liked, so I shipped one — interactive flashcards, command drills, quizzes, and timed hands-on task playbooks for the certification path. Self-hosted from this site.
06 — Builds / Maker
Wood, bricks, patience. Same instinct as the software.
07 — About
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.
08 — Writing / Notes
09 — What's next
Curiosity included at no extra charge. If you've got a hard problem and a table to build it on, let's talk.
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.