AI engineering
LLM apps with retrieval and tool use, AI agents, and MCP integrations - built with human-review checkpoints and data-control guardrails, not brittle prompt demos.
Founder & Product Builder · Software & AI Engineer · Mpaukwu Trading
I build production software and AI systems that hold together after the demo is over - Nigeria-first, to a global standard. Fifteen-plus shipped products across healthcare, retail, education, property, and applied AI.
I'm the engineer behind Mpaukwu Trading, a Nigerian software studio I founded to build products and internal systems for how people actually live and work - hospital and pharmacy workflows, shop and school management, estate access, marketplaces, food technology, and applied AI. Mpaukwu Trading is a CAC-registered business (BN 7294223), and much of what it ships runs against real operators, not just design files.
My work tends to live where the stakes are highest: admin surfaces that explain the business, revenue and trust logic you can inspect, and the boring production discipline - deployment, guardrails, auditability - that decides whether software survives contact with real users. On the AI side I build LLM applications, AI agents, and Model Context Protocol integrations, including a gateway that lets AI agents discover and transact with verified businesses, plus a model router and compliance tooling.
If you're a business looking for someone who can take an idea from "process on a whiteboard" to a deployed, defensible product - and speak plainly about payments, trust, and field realities while doing it - that's the work I do.
Two lanes, one standard: it has to work after real users and real data hit it.
LLM apps with retrieval and tool use, AI agents, and MCP integrations - built with human-review checkpoints and data-control guardrails, not brittle prompt demos.
Web apps, mobile/PWA, admin dashboards, and APIs - from data model to deployment, designed so an operator always knows the next action.
Security, abuse cases, revenue and reconciliation logic, and audit trails - the review that catches what breaks before the stakes rise.
Workflow automation and internal systems that remove manual toil without hiding where money and decisions actually move.
Making products easy for ChatGPT, Claude, Perplexity, and search to crawl, understand, cite, and verify - with structured data and source-of-truth validation.
Fixed-scope builds, monthly retainers, or embedded work alongside your team - matched to what the problem actually needs.
Don't take a bio's word for it.
Bring a business process, product idea, or a SaaS you need pressure-tested. I usually reply the same day.