Backend engineer and AI automation specialist. I build scalable APIs and ship workflow systems that cut out the manual work slowing your team down.
Two sides of the same coin. I build the backend and automate the workflow.
Real problems, real systems. Each of these replaced a manual process that was wasting someone's time. Click any card to see the full case study.
A real estate agency was drowning in vendor invoices every week. Built an automation that monitors Gmail, extracts data from PDFs using AI, and logs everything into Google Sheets automatically.
An ops team was manually pulling data from three systems and calculating KPIs by hand at year-end. Built a one-click Make.com workflow that does it all and populates a live Airtable dashboard.
Sales teams were copy-pasting old proposals after every discovery call. Built an n8n workflow that takes form inputs, generates a polished proposal with AI, routes it through approval, and sends it to the client.
A marketing agency was manually writing and adapting content across LinkedIn, X, and email. Built an n8n pipeline with a custom frontend where a manager picks a draft and the system handles formatting and publishing.
Outbound for an AI agency was fully manual: find leads, research companies, validate emails, write cold messages one by one. Built an n8n system that handles all of it and delivers personalised, ready-to-send outreach sequences directly into Airtable.
I'm Farihan, a backend engineer and AI automation specialist based in Lagos. I hold a First Class degree in Computer Engineering from the University of Ilorin, graduating as one of the top two in my class. Over the past 3 years I've built APIs and backend systems for fintech and enterprise clients, including PwC Nigeria and US-based startups Bundul and Vzy.
Alongside that, I design and build automation systems. Not because I switched tracks, but because I found the most impactful thing a technical person can do for a business is look at what's running on human hours and make it run on logic instead. I'm equally at home writing a NestJS microservice as I am wiring together an n8n workflow.
I approach every project the same way. Understand the process first, then design the system. I care about the output being reliable, not just clever. If it breaks at 3am or produces wrong data, it doesn't count.
Let's talk about what it would take to automate it.