Cloud & Systems Engineer | AI Infrastructure Builder | Agent Systems
name: Michael Dallman
handle: computedocean
role: Cloud & Systems Engineer Β· AI Infrastructure Builder
location: San Antonio, Texas π€
experience: 16+ years in IT Infrastructure
past: Rackspace β Windows Admin IV (2005β2023)
certs: Microsoft Azure Administrator Associate (AZ-104)
focus: Cloud Infrastructure Β· Automation Β· AI Agents Β· Secure Systems
building: CAOS β Computedocean Agent Operating System
gaming: Twitch @ computedocean | Xbox
fun_fact: Migrated 5 firewalls in a single weekend. Survived.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.
My primary engineering project is CAOS, a personal Agent Operating System designed to bring together traditional systems engineering and modern AI.
- π€ AI agent orchestration
- π§ Persistent agent memory
- π οΈ Tool execution
- π Policy enforcement
- π€ Human approval workflows
- π Audit logging
- π₯οΈ System and filesystem automation
- βοΈ Cloud infrastructure
- π Agent planning and execution loops
- β Verification and goal reconciliation
The goal isn't to build another chatbot.
The goal is to build an operating system for intelligent agents.
I build systems using an iterative engineering loop:
INSPECT
β
PLAN
β
IMPLEMENT
β
VERIFY
β
REVIEW
β
ITERATE
βΊ
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.
Windows Admin IV Β· 2005β2023
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
AZ-104
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 β Plan β Act β Verify β Learn