About
I’m a presales engineer working in infrastructure lifecycle management and security. This blog is where I document my technical experiments, learning projects, and explorations across infrastructure, cloud, and AI.
What I’m Working On
My work and interests span:
- Infrastructure as Code - Terraform, CloudFormation, automation patterns
- Cloud Platforms - AWS, GCP, Azure
- Container Orchestration - Kubernetes, Docker
- Networking - IP networking, network automation
- Homelabs - Self-hosted services, experimentation environments
- AI & Automation - Building agents, MCP servers, using LLMs as development tools
- Programming - Refreshing Python skills, learning through building
The AI Angle
I’m using AI tools (like Claude, GitHub Copilot, and others) as learning accelerators throughout this journey. Every project, script, or infrastructure setup involves experimenting with AI-assisted development. I’m learning AI by using it to learn everything else.
This means you’ll see posts about:
- Building things with AI assistance
- Learning new technologies faster with LLMs
- Creating AI agents and MCP servers
- Documenting what works (and what doesn’t)
Why This Blog?
Three reasons:
- Learning in public - Writing solidifies understanding
- Portfolio building - Demonstrating practical skills
- Documentation - Future me will thank current me
Background
Background
I work in presales for infrastructure lifecycle management (IaC) and security lifecycle management (secrets management).
This blog is where I explore the adjacent technologies and skills I don’t get to focus on at work. It’s about widening my technical range beyond my daily scope - diving deeper into networking, building AI agents, experimenting with homelabs, and sharpening programming fundamentals.
What to Expect
Posts will be a mix of:
- Project builds and experiments
- Learning notes and discoveries
- Troubleshooting sessions and solutions
- AI-assisted development experiences
- Homelab adventures
- Cloud and infrastructure patterns
Some posts will be polished tutorials. Others will be messy documentation of things I’m figuring out. That’s the point - real learning is iterative and sometimes chaotic.
Get in Touch
Find me on GitHub or LinkedIn.
If you find something useful here, that’s a bonus. Mostly, this is my technical notebook that happens to be public.