AI Automation Engineer turning manual business operations such as payments, billing, customer messaging into systems that work while you sleep. Self-taught, shipped in production, built for real operators.
I started as a self-taught web developer, then moved deliberately into AI automation because I wanted to solve operational problems, not just build screens. Since then I've shipped tools for real business operators in Nigeria: a hotspot billing platform for cafés and gyms, a school-fee collection system with automated WhatsApp receipts, and production payroll infrastructure as a backend developer.
My focus is the layer of a business that's unglamorous but critical: getting money collected, customers notified, and workflows running without someone manually pushing buttons. I work across n8n, Zapier, Notion, Google AIs and Workplace Tools, Slack, NocoDB, Paystack, WhatsApp Cloud API, MikroTik, and GoHighLevel, and I'm comfortable owning a problem from architecture through deployment.
I'm currently looking for a team building AI-native products where I can bring that same ownership.
Not the tech but the business process underneath it. Automation built on a misunderstood workflow just automates the wrong thing, faster.
Validate before scaling. A working demo beats a polished plan every time.
Payments, notifications, and record-keeping. The places where manual steps cost money or trust.
Not just in a demo environment but in production, with real payments and real customers.
Open to AI automation engineering and ops-focused roles at startups. If you're building something and need someone who can own the automation layer end-to-end. Let's talk.