Leveraging deep Linux admin, DevOps, and infrastructure expertise to pioneer human-AI collaborative workflows • Building systems that think, adapt, and scale • SPARC methodology practitioner

My Journey:

Linux Systems Admin → DevOps Engineer → Platform Engineer → Agentic Engineer

I've spent years building reliable, scalable infrastructure. Now I'm applying that same systematic thinking to AI-powered development, creating workflows where human expertise and artificial intelligence collaborate to build next-generation applications.

• Linux Systems: 10+ years of enterprise administration and automation
• DevOps Pipelines: CI/CD, infrastructure as code, deployment automation
• Platform Architecture: Scalable systems design and reliability engineering
• Container Orchestration: Kubernetes, Docker, microservices at scale

• AI Collaboration: Human-AI workflows using Anthropic Claude, Roo Code
• SPARC Methodology: Structured AI-assisted development processes
• Workflow Orchestration: Intelligent automation and process optimization
• System Intelligence: Building applications that adapt and evolve

Traditional Engineering: Human writes code → System executes Agentic Engineering: Human + AI collaborate → Intelligent systems emerge

I combine infrastructure reliability with AI adaptability to create:

• 🧠 Self-improving systems that learn from usage patterns
• ⚡ Rapid development cycles (hours instead of weeks)
• 🔧 Intelligent automation that handles complexity gracefully
• 📈 Scalable architectures designed for AI enhancement

• Advanced human-AI collaboration patterns
• AI-powered infrastructure management
• Intelligent system monitoring and self-healing
• Agentic workflow orchestration platforms

• Workflow automation systems that integrate 80+ services
• AI-assisted development environments for rapid prototyping
• Intelligent deployment pipelines with adaptive optimization
• Self-managing infrastructure with AI-driven decision making

• Next-generation prompt engineering techniques
• Autonomous system design patterns
• AI ethics and safety in production systems
• Emerging agentic frameworks and methodologies

Regex-based scanner for detecting AWS credentials, GitHub tokens, and API secrets in codebases—built for security and compliance automation.

A powerful, interactive Rust project generator with intelligent templates and enterprise-grade scaffolding—built for modern Rust workflows.

A minimal Kubernetes network inspection tool designed for diagnosing CNI issues and pod connectivity problems—perfect for platform engineers.

A secure Rust-based encryption and data-handling utility focused on safety, speed, and simplicity in agentic workflows.

A Matrix-style real-time network packet monitor with live threat detection and visual telemetry—designed for AI-augmented network visibility.

"The best systems don't just scale—they evolve."

Principles I Follow:

• 🎯 Human-AI Symbiosis: Leverage AI for routine tasks, humans for creative problem-solving
• 🔄 Continuous Evolution: Build systems that improve themselves over time
• 📐 Systematic Approach: Apply engineering rigor to AI-assisted development
• 🌐 Infrastructure Mindset: Design applications with ops-level reliability
• 🚀 Rapid Iteration: Move fast without breaking things (AI helps with both)

Development Velocity:

• 📊 75-80% reduction in development time through AI collaboration
• ⚡ Hours to production instead of weeks for complex applications
• 🔄 90% automation of routine development tasks

System Reliability:

• 🎯 99.9% uptime maintained across intelligent infrastructure
• 🔧 Self-healing systems reduce incident response time by 60%
• 📈 Proactive optimization improves performance continuously

I believe we're at an inflection point where traditional engineering practices merge with AI capabilities to create something entirely new:

• Infrastructure that thinks and adapts to changing requirements
• Development workflows that learn from every iteration
• Systems that optimize themselves without human intervention
• Engineering teams augmented by intelligent AI collaborators

The question isn't whether AI will change engineering—it's how quickly we can evolve our practices to harness its potential.

• 📧 Email: marcus.patman@gmail.com
• 💼 LinkedIn: https://www.linkedin.com/in/marcuspatman/
• 🐦 Twitter: @marcuspat

• Collaborating on agentic engineering projects
• Discussing AI-infrastructure integration patterns
• Mentoring engineers transitioning to AI-assisted development
• Speaking at conferences about the future of platform engineering

⚡ "Building tomorrow's intelligent systems with today's engineering principles"

This profile itself demonstrates agentic engineering—collaboratively written through human vision and AI assistance.