I build the systems that
quietly run your business.
Web platforms, automated data pipelines, and AI features that actually ship — sized to a team that doesn't have an IT department to hand this off to. I spent the last year building exactly this, full time, for a live financial intelligence platform. Now I build it for you.
Businesses don't need "AI." They need three fewer manual steps in their week.
Nobody actually wants a chatbot. They want to stop answering the same question forty times a week. Nobody wants "machine learning." They want to stop losing an afternoon to a spreadsheet that should update itself. AI is only useful when it removes a specific, named piece of friction — everything else is a demo, not a solution.
Are you or your team manually pulling data from the same sources every day?
That's a background job, not a job for a person. I build systems that scrape, monitor, and update themselves — the kind that ran unattended, 24/7, tracking 2,000+ companies for the platform I worked on.
Do you have a mountain of documents, records, or historical data nobody has time to search properly?
That's what retrieval and semantic search are for — asking a plain-English question and getting a real answer, instead of a folder of PDFs and a prayer.
Is your current website or internal tool held together by whoever built it three years ago, who's since left?
That's a full-stack rebuild — the unglamorous kind of AI-services work most agencies skip because it isn't flashy. It's also usually where the actual bottleneck is.
For smaller teams
Built for how a small or growing business actually decides to spend money.
You're probably not sitting on a big-agency budget or a procurement department to absorb the risk if a project goes sideways — you're the person who has to answer for it. So the engagement is built around three things.
Start with the smallest useful version
You don't need a "platform" when what you need is one working automation or feature. Scope grows only once it's proven itself.
Fixed scope before anything starts
You'll know the cost and the timeline up front — not three invoices in, and not billed by the hour with no ceiling.
One person, start to finish
No account manager relaying messages to "the dev team." The person who quotes the price is the person who writes the code.
WHAT I DO
Six things, done properly, instead of twenty things done half-way.
01
Full-Stack Web Development
The platform, dashboard, or internal tool your business actually runs on — built to be maintained, not just demoed.
02
AI Integration
Chat interfaces, semantic search, and automation built on real language models — scoped to a specific business problem, not bolted on because it's trendy.
03
Data Pipelines & Automation
Background systems that collect, clean, and deliver data without a person babysitting them — the kind that run at 3 a.m. without anyone noticing, because nothing broke.
04
Android App Development
Native Android apps built in Kotlin — not a repackaged web view pretending to be an app. Built to actually perform on the hardware it runs on.
05
iOS App Development
Native iOS apps built in Swift, from the App Store listing to the backend that powers them — not a cross-platform compromise dressed up as native.
06
On-Premise AI Tools
Custom AI systems that run on your own infrastructure instead of a third party's servers — for businesses where customer data, contracts, or records can't leave the building.
2,000+
African public companies tracked daily, across 10 exchanges, without a person touching the pipeline.
24/7
Uptime on automated data systems built and maintained — zero manual intervention required.
Real software applications in live production
Every project below represents an active software application or data pipeline engineered for real users.
Akinia Market Intelligence Platform
A financial intelligence platform giving investors and dealmakers a unified view of African market data, company metrics, and macroeconomic indicators.
Multi-Exchange Stock Price Pipeline
An automated scraping microservice collecting real-time stock data for 2,000+ public companies across 10 exchanges — running 24/7 without manual intervention.
Natural Language AI Search Engine
A production semantic search engine enabling users to query complex financial data using plain English prompts instead of rigid database filters.
Direct engineering partnership with zero agency bloat.
When you work with me, you work directly with the engineer who models the database, builds the user interface, and deploys the backend infrastructure. No handoffs, no middle management, and no communication lag.
Why Clients Work With Me
No 40-page proposal.
Just four steps.
A clear, predictable process from first call to handover — so you always know what's happening, what it costs, and what happens next.
Call
A free 20–30 minute call. You describe the problem, I tell you honestly whether it's a good fit for AI/automation or whether it's actually a simpler fix.
Scope
A short written scope: what gets built, what it costs, how long it takes. No surprise line items later.
Build
I build in the open — regular check-ins, working previews, not a black box that reappears in six weeks.
Handover
You get the finished system, clean documentation, and a clear answer on ongoing support if you want it. Nothing held hostage behind a retainer you didn't agree to.
Got a process that's still run by hand? Let's talk about whether it should be.
One call. No obligation. Worst case, you leave with a clearer idea of what to build and when — even if it's not with me.