Infrastructure lab · proof page

A private AI lab, operated like a product.

Private AI infrastructure lab used to build, test, and operate distributed automation systems, clinical workflow demos, media-processing pipelines, trading-research infrastructure, and business-platform prototypes.

Internal-only environment. This page is the proof surface, not an admin surface — no live console, shell, dashboards, or credentials are exposed.
~25
nodes operated
Multi-role
control, app, data, GPU
Operator-gated
every runtime change

The war room

The physical environment behind the portfolio. Visuals here are about systems engineering and operations posture — not raw hardware flex.

Sanitized image placeholder
Rack, workstation, and operator surface

The physical fleet and the operator-facing surface used during deploys, recoveries, and live monitoring. Sanitized infrastructure imagery is intentionally handled separately so public materials do not expose private topology, host roles, internal addresses, or deployment-sensitive details.

How it's built and run

High-level architecture only. Capability framing — never internal addressing, exact topology, or live access paths.

Cluster purpose

A coordinated multi-node environment treated as one product surface — not a pile of side-project boxes.

  • Specialized roles across the fleet: control plane, application hosts, data tier, GPU workloads
  • Service separation across nodes rather than a monolith on one box
  • Internal artifact registry, shared observability, planned workload placement
  • Used to host every platform on this portfolio end-to-end

GPU and media role

Dedicated GPU capacity for training, inference, and media-processing pipelines that would otherwise force a managed-service dependency.

  • GPU nodes carved out for trainer workloads and batch inference
  • Media-processing lanes (audio / image / document pipelines) kept off the application tier
  • Trainer and inference roles separated so model promotion is a deliberate step
  • Backfill lanes are isolated from realtime serving so heavy work cannot starve the hot path

Docker / Compose deployment model

Every service is containerized, version-pinned, and brought up through declarative compose files — no ad-hoc systemd drift.

  • Docker Compose v2 across every host with project-prefixed container names
  • Internal image registry as the single source of truth for builds
  • Each project ships a PROJECT.md describing service distribution, ports, and dependencies
  • Bring-up and tear-down are scripted and reversible per service, not per host

Cloudflare Access / Tunnel exposure

Public surfaces are reached through Cloudflare Tunnel and gated by Cloudflare Access — no inbound holes punched directly into the lab.

  • Outbound-only tunnels from the lab to Cloudflare's edge
  • Cloudflare Access policies (email allow-list) protect interactive demos like DRG
  • Public marketing pages and documented work examples are served the same way as the gated ones — same edge, different policy
  • No raw IPs, no exposed admin panels, no SSH tunnels published

CI, runbook, and rollback discipline

Every change to runtime behavior is scoped in writing, validated by gates, and reversible before it goes anywhere near production.

  • Recommendation-first review for any change request
  • Validation gates (lint, type-check, build, smoke) run before merge
  • Rollback plan documented before forward action — never assumed
  • Protected-file boundaries enforced through release certifications

Monitoring and health-check philosophy

Observability is wired in at deploy time, not retrofitted after an incident. Alerts route to humans; nothing auto-acknowledges itself.

  • Per-node host metrics and per-container metrics scraped on a single monitoring plane
  • Service health checks defined alongside the service, not in a separate doc
  • Alert routes go to a human review path — no silent self-healing of unknown faults
  • Read-only dashboards; the lab is not configurable from the dashboard surface

Safety boundary

This page describes operational capability. It does not expose any of the controls that operate the lab. Anything that would meaningfully change risk if it leaked is held back by default.

  • No live console access. The lab's hypervisor consoles are not reachable from this page or any public surface.
  • No shell access. There is no SSH jump host, no web shell, and no terminal embedded in any portfolio page.
  • No internal addressing. Hostnames, IP ranges, and topology coordinates stay internal — only roles and outcomes are shared publicly.
  • No secrets. Tokens, credentials, API keys, and database connection strings never appear on a proof surface.
  • No admin dashboards. Operational dashboards, queue managers, and database admin panels are not linked from anywhere outside the lab.
  • No exact topology. Capability framing only — never "X runs on node N and Y runs on node M."

Infrastructure as portfolio surface is honest only if the portfolio surface is read-only. The way to prove operational capability is to show how the lab is built and run — not to hand a recruiter a live console.

Back to the gateway

Want to step into a real demo?

The infrastructure here is what powers every platform on the portfolio. The interactive demos themselves are gated through the demo gateway and the demo-access request flow — start there if you need hands-on access.

Back to all demosRequest demo access
Available for evaluation

Work with me on infrastructure and operations

I take on scoped workflow audits, technical solutions engineering, and fractional implementation leadership — bounded work, clear artifacts, no open-ended consulting.

Contact me