Data & AI systems builder, turning messy operations into working products.

I bridge analytics, engineering, and applied AI — and I actually ship.

By day, I'm a Product & Operations Analyst at Sirius Sales, where I've spent years turning supplier and SKU-level performance data into structured reports and process frameworks that get adopted company-wide. That work taught me how operations actually break in practice — not in theory.

Outside of that, I'm co-founding Auralith, a SaaS company built to bring real operational digitisation to SMEs across Africa, structured around five specialist divisions and a long-term platform vision called FieldOS. It's the throughline for most of what I build.

I'm currently deepening my fundamentals through ALX/ExploreAI's Data Engineering Certificate, and I've completed Anthropic Academy programs in AI Fluency, the Claude API, Model Context Protocol, and Claude Code — because building AI systems properly means understanding what's happening under the hood, not just calling an endpoint.

What ties all of it together: I don't stop at the analysis or the pitch deck. Eight working prototypes — covering financial inclusion, chronic illness management, staffing logistics, trading analytics, women's mentorship, offline-first CRM, and vocational assessment — started as problems I noticed and ended as systems I built.