I design and build real-world infrastructure systems — where security, usability, and operations actually work together.

Focused on EUC, Zero Trust, endpoint platforms, and automation in complex environments.

I build systems that reduce operational friction, improve security without breaking usability, and turn scattered tools into structured workflows.

useful chaos → usable systems

A practical macOS toolkit built around automation, workflows, and terminal-driven operations.

At the core is:

mqlaunch — a modular command surface that turns scattered terminal workflows into one structured system.

one command → structured workflows → repeatable execution

Repo: https://github.com/MCamner/macos-scripts
Site: https://mcamner.github.io/macos-scripts/

• mqlaunch is the single entrypoint
• workflows provide structured execution
• scripts stay modular underneath
• the system remains extensible without becoming chaotic

Browser-based prototypes for client readiness, endpoint visibility, macOS compliance, fleet views, certificate expiry risk, and enterprise validation workflows.

Includes:

• Client Readiness Dashboard
• Fleet Command Center
• macOS Enterprise Dashboard
• Certificate Expiry Timeline
• MQ Mirror
• MQ Client Optimizer

Repo: https://github.com/MCamner/Design-Prototype
Site: https://mcamner.github.io/Design-Prototype/

MQ Mirror translates macOS GUI actions into terminal command equivalents — helping operators learn, document, and execute faster.

tools/mqmirror/mqmirror network
tools/mqmirror/mqmirror inspect
tools/mqmirror/mqmirror watch --interval 1 --compact --ignore-terminal

GUI action → CLI equivalent → better operational understanding

Part of: https://github.com/MCamner/Design-Prototype/tree/main/tools/mqmirror

MQ Client Optimizer evaluates IGEL OS 12 and macOS clients against structured baselines — covering Citrix readiness, certificate health, and CIS-style security compliance.

python3 tools/mq-client-optimizer/mq_client_optimizer.py list-baselines
python3 tools/mq-client-optimizer/mq_client_optimizer.py analyze \
  --baseline macos-enterprise-cis-lite --sample
python3 tools/mq-client-optimizer/mq_client_optimizer.py serve

client data → baseline evaluation → scored report

Part of: https://github.com/MCamner/Design-Prototype/tree/main/tools/mq-client-optimizer

I work at the intersection of:

• 🏗️ Endpoint & Infrastructure Architecture
• 🔐 Security, Identity & Zero Trust
• ⚙️ Automation & System Integration
• 🧪 Client Readiness & Validation
• 🧭 Systems Thinking

My focus is simple:

Turn complex environments into systems that are usable, secure, and operationally realistic.

Problem: scattered shell scripts, low discoverability, inconsistent execution
Solution: one modular command surface with structured workflows
Outcome: repeatable execution and reduced operational friction

Problem: enterprise clients often fail because readiness is assumed, not verified
Solution: browser-based and helper-assisted validation of endpoint signals
Outcome: practical visibility into whether a client is actually ready for enterprise workflows

Endpoint & EUC: Citrix, IGEL OS, Intune, SCCM
Infrastructure: Active Directory, VMware, Windows, Linux
Security: Zero Trust, certificates, identity, access patterns
Automation: Python, Bash, Zsh, CLI workflows
Architecture: client readiness, validation, structured systems

I use GitHub as a working system, not just a portfolio.

real problems → real constraints → practical prototypes

• Reduce complexity — don’t add layers
• Build for real operations, not slides
• Balance security with usability
• Make workflows discoverable and repeatable

• Website: https://mcamner.com
• LinkedIn: https://www.linkedin.com/in/mattias-camner-75958022
• Art platform: https://blackiris.se

Build things that work. Then make them impossible to break.