Principal architect profileUpdated 2026.07

Storage Mesh / Governed RAG / Bare-Metal Automation / Agentic Control Planes

Infrastructure architecture for AI systems that must stay explainable.

Turning ambiguous infrastructure concepts into architecture decisions, executable validation checks, runbooks, service scaffolding, automation workflows, and implementation plans.

Explore the evidence
Best-fit rolePrincipal AI Infrastructure ArchitectStorage mesh · governed retrieval · agentic automation
01 / Knowledge basis

Systems thinking across the whole AI infrastructure path.

01

AI data platform architecture

Governed memory, RAG pipelines, retrieval projections, and local inference.

Very high
02

Storage mesh architecture

OpenAPI/C ABI storage mesh, operation journal, plug-in manager, capability profiles.

Very high
03

AI storage cluster architecture

Coherence-CE, CXL, RDMA, DPU/NVMe-oF, OpenZFS, benchmark and E2E validation.

Very high
04

Bare-metal and VM automation

Gentoo Stage4, LLVM/Clang, Ansible, iPXE, QEMU/VM, SLURM, Jenkins.

High
05

Secure OS hardening

SELinux, cgroups v2, BPF, OpenRC, lockdown, module signing, audit posture.

High
06

Agentic control plane

FCP, MCP, signed messages, no-secret memory, scoped agents, validation gates.

Very high
07

Engineering governance

ADR/DDN/CCR/PER records, evidence indexes, compatibility gates, SBOM/provenance.

Very high
08

Observability foundations

OTel, VictoriaMetrics, OpenSearch, GPU/SLURM/Jenkins telemetry, projection lag.

High
02 / Repository evidence

Architecture claims, mapped to working technical artifacts.

03 / Recent workload

From secure agent messaging to governed retrieval and storage-mesh seams.

Forge control-plane security matured

Signed messages, operational memory, no-secret gates and audit posture became central.

Coherent Storage integration

S3 translator scaffolding and RAG corpus-processing semantics expanded the AI storage work.

Universal Storage Mesh ADRs

Modular architecture, API/ABI posture and deployment taxonomy were formalized.

Automation and standards baseline

Gentoo Stage4, iPXE, Ansible, SLURM and governance overlays support lab automation.

04 / Consulting offers

Clear, bounded engagements with implementation-ready outputs.

01

AI Infrastructure Architecture Audit

ADR gap map · risk register · implementation sequencing · evidence-gate matrix

02

Governed RAG Platform Blueprint

Ledger/CAS/projection model · policy and redaction · retrieval evaluation · telemetry

03

Storage Mesh Implementation Plan

OpenAPI surface · C ABI seams · capability profiles · deployment taxonomy

04

Agentic Engineering Control Plane

Authorization model · MCP tool boundaries · no-secret policy · validation gates

05

Bare-Metal AI Lab Enablement

Gentoo/iPXE/Ansible/SLURM/Jenkins architecture · observability · recovery runbooks

Architecture should reduce ambiguity — not relocate it.

Build the system, the evidence, and the operating model together.

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