Available for new roles · May 2026

I build AI-powered systems
that interpret context,
decide, and act.

Platform engineer and AI systems builder. Fifteen-plus years at Vertex — Operations to Architect. I design self-service platforms that turn days of work into a drop-down, and stateful AI agents that do real things in real environments.

See what I build View résumé [email protected]
15+
Years at Vertex
days → min
Env provisioning
k3s + GPU
Home-lab AI fabric
edge → ent.
Jetson to enterprise
// about

The shape of the work.

I climb the stack. I started in OnDemand Operations, moved through IT, became a Technical Account Manager, then ran the Tier III support tech team before stepping into consulting and finally Emerging Tech as an Architect. I've held the pager, owned the customer, run the team, and shipped the code.

The systems I'm proudest of share a pattern: they make decisions. A self-service environment platform that picks the right stack for what you asked for. A multi-agent home brain that knows the light is already on. A vision pipeline that classifies an object and calls a live tax engine. Less dashboards, more decisions.

Currently exploring my next chapter. If you're building platforms, AI systems, or the unglamorous infrastructure that makes either reliable — let's talk.

// featured projects

Selected work.

A mix of platform engineering, applied AI, and edge experiments — production-shaped on purpose.

flagship platform engineering

K3s "Jukebox" — On-Demand Environment Provisioning Platform

An internal Platform-as-a-Service. Engineers pick an O Series version, database flavor, Java version, and module config from a dropdown. Minutes later, a fully-configured environment is live — k3s orchestrates, Longhorn persists, Node-RED automates the composition pipeline.

  • › Days of manual setup → minutes of self-service.
  • › Parameter-driven environment factory, not a fragile script.
  • › Empowered non-infra users to spin up real environments independently.
# jukebox.spin o_series_version: "9.x" database: "postgres-16-ha" java_version: "17" mdu_profile: "sales-tax-full" # t+0:00 → submit # t+0:08 → ready
k3sLonghornNode-RED DockerPostgreSQLPython
// AI orchestration

Multi-Agent Home Orchestration

Parent Agent routes intent to scoped child agents (Home, Weather, Calendar, Finance), each with its own tools and reasoning. PostgreSQL state, MCP transport, local LLMs — a state-aware decision engine, not a chatbot. Brought the underlying n8n + MCP pattern into Vertex as a secure orchestration platform for enterprise PoCs.

n8nMCPOllama Home AssistantPostgreSQLFlowise
// edge AI · personal time

Real-Time Visual Tax Checkout

Roll a tennis ball past the camera. Jetson Nano detects the object, classifies it, and calls Vertex O Series live for the correct tax. Vision → classification → enterprise tax engine, end to end.

Jetson NanoObject detection O Series APIPython
// AI decisioning

Autonomous Crypto Trading System

Multi-signal AI evaluates 1-min and 5-min OHLC, CryptoPanic sentiment, and aggregate trend. Executes via OCO orders with dynamic stop-loss/take-profit. Tracks rolling performance over 10-min and 1-hour windows. Real-time decisioning under uncertainty.

FlowiseNode-RED BinanceCoinbase CryptoPanicPostgreSQL
// data foundation

Enterprise Tax Knowledge Corpus for LLMs

The data layer behind AI assistants for tax. Aggregated product docs, legislative content, and KB into a tagged, vector-searchable corpus — schema covers document type, tax entity, and jurisdiction so retrieval is precise enough for enterprise use.

Chroma / MilvusPostgreSQL FlowiseSemantic tagging
// infrastructure

Distributed AI Compute Fabric

Multi-node k3s with NVIDIA GPU scheduling, Longhorn persistence, and HA Postgres running Ollama, vector DBs, and custom inference services at home — production-shaped substrate for AI workloads.

k3sNVIDIA GPU LonghornOllama
// emerging

MCP + API Integration Layer

MCP-compatible services that let LLMs invoke real tools — Home Assistant via secure tokens, internal APIs through FastAPI shims. Tool servers as first-class infrastructure.

FastAPIMCP Home AssistantDocker
// experiment

Personal Knowledge Graph

Family, travel, home inventory, and smart-home state unified as a Neo4j graph — the substrate for a conversational interface. A personal intelligence hub instead of seven disconnected dashboards.

Neo4jCustom APIs Graph modeling
// experience

The path up the stack.

  1. Aug 2024 – May 2026 · Emerging Tech

    Software Architect III — Vertex, Inc.

    Prototyped multi-LLM and RAG chatbot patterns. Built the product data corpus that powered them. Oversaw external contractors building visualization tools for tax configuration content. Introduced n8n + MCP internally as a flexible, secure orchestration platform.

  2. Jun 2022 – Aug 2024 · Consulting

    Consultant IV — Vertex, Inc.

    Led O Series environment automation on k3s, Longhorn, Python, and Node-RED — the foundation of the K3s Jukebox platform. Stood up HA Postgres clusters. Integrated AnythingLLM with OpenAI, Anthropic, Gemini, and Ollama. Designed the Jetson Nano visual checkout demo.

  3. Oct 2020 – Jun 2022 · Tier III

    Customer Support Manager — Vertex, Inc.

    Owned the highest support tier Vertex offers. Managed FTE engineers and external contractors. Escalation lead for high-value clients across application, database, and network.

  4. Earlier

    Tier III Supervisor → TAM → IT → OnDemand Ops

    The full path. Started in OnDemand Operations running hosted O Series, moved through IT, became a Technical Account Manager, then ran the Tier III tech team. Every step technical; every step customer-facing.

// stack

The toolkit.

AI / ML

LLM orchestrationRAGMulti-agent MCPOllamaFlowise AnythingLLMn8nWhisper Chroma / MilvusNeo4j OpenAI · Anthropic · Gemini APIs

Platform & Infrastructure

k3s / KubernetesLonghorn Kubegres / HA PostgresDocker NVIDIA GPU operatorJetson Nano AWS (S3, EC2, RDS, IAM, ELB) Nginx

Languages

PythonJavaScript / Node BashSQLC

Automation & DevOps

Node-REDn8n FastAPIREST · SOAP · OAuth GitHub ActionsCI/CD IaCMLOps
// let's talk

Hiring for platforms or applied AI? I'm open.

Best on email or LinkedIn. I'll respond fast. Resume below — short and long versions.

[email protected] LinkedIn Résumé 484-748-4107