Software engineer building AI systems in production.
I'm a software engineer who likes owning things end to end — taking a problem from rough idea to something running in production. For the past six years I've been at Makrwatch, a YC-backed startup connecting brands with YouTube creators, where my work ranges from payment pipelines to AI systems that decide, in real time, when creators get paid.
Before that, I was at AFEX in Nigeria, helping build ComX — the country's first SEC-regulated digital commodities exchange.
AI isn't a pivot for me — it's where my work already lives. I've shipped production AI systems that classify sponsored content in real time and screen hundreds of creator leads a day, and I'm going deeper: I started a master's in Artificial Intelligence at UT Austin in January 2026.
Creators used to wait days to get paid after posting sponsored content. I built an AI classification system that detects sponsorships in YouTube videos in real time and triggers payment automatically — cutting the payment cycle from two days to five minutes and eliminating $50K a year in manual review.
Every sponsorship deal used to mean a hand-built invoice. I designed and built the whole invoicing pipeline: brands are billed the moment a deal closes, creators get paid out sooner, and it hasn't produced a billing error since it shipped.
At AFEX, I was part of the small team that built ComX, Nigeria's first SEC-regulated digital commodities trading platform. It cleared $3M in trades within three months of launch — democratizing access to commodity markets for retail investors.