I build the systems, then I run them
The quickest way to judge an automation engineer is to look at what they keep running. Here is mine.
My home lab
My home lab is around 30 Docker stacks, roughly 25 containers up at a time, behind Caddy and Authentik. Photos run on Immich with GPU machine learning. Documents run on Paperless-ngx, search on SearXNG, and an LLM gateway on LiteLLM. Nothing on that list is a demo.
The same habit goes into what I build for you. I build it properly, once, and hand it over documented.
Mark Lester Mahilum is an AI automation engineer in the Philippines who designs, builds, and runs agentic systems — n8n, MCP, and self-hosted infrastructure.
Before automation, critical care
I spent eight years in critical-care nursing and paramedicine, at Hamad Medical Corporation in Qatar and King Saud Medical City in Saudi Arabia.
Intensive care runs on protocols, checklists, and handovers where a missed step hurts someone. I bring the same habits to automation: plan for the failure, check the handover, and write it down.
What I work with
What I have built
n8n Queue-Mode Automation Platform
Your automations get the same setup I trust with my own work. One heavy job cannot take the rest of the system down.
Read the entry RunningBusiness OS Content Pipeline
Content that used to need a free afternoon now collects itself, and turning it into assets is mostly automated.
Read the entry Running as recurring scheduled tasksAgentic Lead-Generation Pipeline
Agents can do the finding and the first draft, and you still approve everything before it reaches a customer.
Read the entry Running continuouslySelf-Hosted Infrastructure Stack
If you would rather own your stack than rent it, this is the setup I run daily.
Read the entryWant to talk through a project?
Tell me what you are building, or what keeps breaking. A call is usually enough to scope it.