Product and AI at the intersection of how people actually live and work. I have shipped systems at two startups from zero, always starting with the person on the other end. Looking for the next team to do it at greater scale.
Currently: HireRail
Founder & AI Product Lead
Recruiters in Lagos were drowning in candidates with no way to know who to trust. My team and I built HireRail around that problem. An AI screening engine that explains every decision it makes, built on a five-dimension candidate framework with fairness guardrails and agentic workflows. Cut review time by 90% without leaving the right people behind.
Case Study · 2023
590,000 transactions, 20,000 of them fraudulent. I built an explainable scoring engine that tells you why a transaction was flagged and by how much, using SHAP values translated into plain English. XGBoost at AUC 0.924, 40+ signals engineered, causal inference with DoWhy and difference-in-differences.
Design + Build · 2025
A family bakery in Abuja needed a real storefront. I built one as a gift. Menu, cart, and orders end to end, including a product and sales management system on the backend.
Founder & Builder · 2025
I teach Sunday school. The tools we had were not good enough for the kids we were serving. So I built Noah's Ark. Gamified Bible lessons, a prayer feed, group competitions, and a pastor dashboard so no student goes unseen. Multi-tenant and built for any church that wants the same.
2025 →
Founder & AI Product Lead
Built and shipped an AI screening engine end-to-end, cutting per-candidate review time by 75% via a five-dimension candidate framework, agentic workflows, and multi-tenant SaaS.
2025
Product & Curriculum Architect
NLP classification across 30+ behavioral indicators turned unstructured tutor–student interactions into measurable learner diagnostics for a K–12 EdTech startup.
2024–25
Graduate Assistant, Data Strategy
Executive dashboards in Salesforce + Excel, recruitment funnel analytics, and global survey work (2,800+ respondents) informing Marist's college→university transition.
2023–24
Data Analyst (Intern)
Engineered SQL pipelines that cut reporting latency 50%, ran statistical analyses on academic interventions, and trained 60+ stakeholders on the data tooling.
Marist University·MS, Information Systems & Business Analytics·BA, Economics · Minors: Business Administration, French·PPIA Fellow, Princeton University
I have always been interested in the systems that govern how people live. My training in economics deepened that. But what drives me is not the systems themselves, it is the person inside them.
The recruiter who needs to find the right hire. The student who needs to learn. The pastor who needs to know how his kids are doing. I build toward that person every time.
The last few years have been leading product and building AI from scratch at early-stage startups. Master's in Information Systems from Marist. Princeton PPIA Fellow in advanced economics. Off-screen: volleyball, 350+ hours at the Restoration Food Pantry, and writing about how Africa shows up in technology.
