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Computedocean/README.md

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👋 Hi, I'm Michael Dallman

Cloud & Systems Engineer | AI Infrastructure Builder | Agent Systems

name:        Michael Dallman
handle:      computedocean
role:        Cloud & Systems Engineer · AI Infrastructure Builder
location:    San Antonio, Texas 🤠
experience:  16+ years in IT Infrastructure
past:        Rackspace — Windows Admin IV (2005–2023)
certs:       Microsoft Azure Administrator Associate (AZ-104)
focus:       Cloud Infrastructure · Automation · AI Agents · Secure Systems
building:    CAOS — Computedocean Agent Operating System
gaming:      Twitch @ computedocean | Xbox
fun_fact:    Migrated 5 firewalls in a single weekend. Survived.

🧠 About Me

I'm a Cloud & Systems Engineer with 16+ years of enterprise IT infrastructure experience, specializing in Windows infrastructure, cloud platforms, automation, networking, identity, and systems engineering.

I spent 18 years at Rackspace, progressing to Windows Admin IV, where I built extensive experience supporting enterprise infrastructure and solving complex systems problems.

Today, I'm focused on combining that infrastructure background with cloud automation and AI agent engineering.

My current mission:

Build intelligent systems that can reason, plan, execute, verify, and continuously improve.


🤖 CAOS — Computedocean Agent Operating System

My primary engineering project is CAOS, a personal Agent Operating System designed to bring together traditional systems engineering and modern AI.

CAOS is being built around:

  • 🤖 AI agent orchestration
  • 🧠 Persistent agent memory
  • 🛠️ Tool execution
  • 🔐 Policy enforcement
  • 👤 Human approval workflows
  • 📋 Audit logging
  • 🖥️ System and filesystem automation
  • ☁️ Cloud infrastructure
  • 🔄 Agent planning and execution loops
  • ✅ Verification and goal reconciliation

The goal isn't to build another chatbot.

The goal is to build an operating system for intelligent agents.


🔄 Engineering Philosophy

I build systems using an iterative engineering loop:

INSPECT
   ↓
PLAN
   ↓
IMPLEMENT
   ↓
VERIFY
   ↓
REVIEW
   ↓
ITERATE
   ↺

I believe reliable software and infrastructure are built through continuous inspection, implementation, verification, and review rather than one-shot development.

That philosophy is now at the center of how I approach AI agent engineering.


🧰 Tech Toolbox

☁️ Cloud & Infrastructure

Azure AWS Google Cloud Azure DevOps Microsoft Entra

⚙️ DevOps & Automation

Python Terraform Docker PowerShell Git GitHub Actions

🤖 AI & Agent Engineering

FastAPI AI Agents Agent Architecture Automation

💻 Systems

Windows Server Linux SQL Server

🔐 Security & Identity

Zero Trust SSO VPN


🏗️ Infrastructure Experience

Rackspace

Windows Admin IV · 2005–2023

Enterprise infrastructure experience across:

  • Windows Server
  • Active Directory
  • Microsoft technologies
  • Systems administration
  • Enterprise troubleshooting
  • Infrastructure automation
  • Networking
  • Cloud technologies
  • Production environments
  • Large-scale infrastructure operations

📜 Certifications

Microsoft Certified: Azure Administrator Associate

AZ-104


🚀 Current Focus

I'm currently working at the intersection of:

        CLOUD
          +
    INFRASTRUCTURE
          +
      AUTOMATION
          +
      AI AGENTS
          =
   INTELLIGENT SYSTEMS

I'm particularly interested in building systems where AI isn't simply generating text, but can:

Understand → Plan → Act → Verify → Learn


📊 GitHub Stats


🏆 GitHub Achievements

Trophies


🔥 Contribution Activity

Activity Graph


🌐 Connect With Me

Twitch

Profile Views


⚡ Building the future at the intersection of infrastructure and AI.

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