stop 01
private
Web scrapers and extraction pipelines, mail-merge and reporting systems, and file and workflow automation. Repetitive manual work turned into scheduled, reliable jobs.
Pythonscrapingpipelines
Transform processes into intelligent systems.
Software engineer in Nairobi. I turn manual, brittle processes into automated systems: data pipelines and scrapers, LLM-driven agents, and the full-stack products and integrations around them.
Nairobi, Kenya · open to conversations · always building
01sourceidle
02extractidle
03transformidle
04automateidle
05deliveridle
$ press run to watch a job move through the pipeline
// about
I turn manual work into systems that run themselves.
I'm a software engineer in Nairobi with a large, active project history: dozens of repositories spanning web automation and scrapers, data-extraction and reporting pipelines, file and workflow automation, and increasingly LLM-driven assistants and agents. I build full-stack products end to end, from the API and data layer through to UI and deployment.
Integration work keeps me honest. When code connects to core platforms and payment rails, real money moves through it, so it has to be typed, validated, and boring in the best way. The through-line across everything I build: take a messy, manual, or brittle process and make it automated and reliable. I hold certifications in cloud and network security and ethical hacking, and that security-first habit follows me into everything I ship.
// the tour
A guided tour of what I build
Nine stops across automation, AI, and full-stack products. Public repos link to real code; most recent work lives in private repositories, described here by category and available to discuss on request. Take the guided tour, or filter and jump to any stop.
9 stops · arrow keys to move · esc to exit
stop 02
private
LLM-driven assistants and autonomous agents, plus text-generation and analysis tooling. Where a lot of current build energy goes.
LLMagentsTypeScript
stop 03
private
End-to-end web and mobile products, from the API and data layer through UI to deployment, including SaaS and internal systems.
ReactNodemobile
stop 04
public
One interface, many gateways: Flutterwave, Cybersource, and Africa's Talking behind a common driver. Swap the provider, keep the app code.
Node.jsTypeScriptDocker
code ↗
stop 05
public
Typed, SDK-style client for central-bank settlement rails (TIPS / RTGS): the high-stakes end of integration work.
TypeScriptISO 20022
code ↗
stop 06
public
Swappable payment gateways behind one interface, in Laravel: the same driver pattern, in PHP.
PHPLaravel
code ↗
stop 07
public
MERN baseline: JWT auth on the server, a React client, and Docker.
MongoDBExpressReact
code ↗
stop 08
public
Expo React Native app that calls a payments backend: the mobile front to the integration work.
React NativeExpo
code ↗
stop 09
public
Python helpers for ODK forms: CSV to JSON conversion, validators, and pytest coverage. Messy field data in, clean records out.
Pythonpytest
code ↗
The pattern: one interface, any provider
The idea behind the payments kit and the Laravel starter. Your app calls one method; a driver swaps the provider underneath. Tap a provider to see what changes and what stays the same. Illustrative, not a copy of the repo.
// methodology
The architecture behind every system
Whether it's a data pipeline, AI agent, or full-stack product, the pattern is the same: source, extract, transform, automate, deliver. Tap each stage below to see how it works in practice across real projects.
// expertise
Skills, tiered honestly
Strong
Working knowledge
Security foundation
Education
// journey
From computer science to shipping software daily
foundation
Computer Science & Business IT
BSc Computer Science (St. Paul's University) and Diploma in Business IT (Strathmore): the systems-and-business grounding that shapes how I approach problems.
security
Cloud, network security & ethical hacking
Cyber Shujaa certifications in Cloud & Network Security and Ethical Hacking: a security-first lens that matters when the systems you touch move real data and money.
now
Integration engineering by day, building the rest of the time
Day to day, I connect systems to core platforms and payment rails. Outside that, I build automation, tooling, and AI-driven projects.
direction
Deeper into automation, AI, and products
Turning day-to-day engineering into reusable tooling and shippable products: data pipelines, full-stack apps, and increasingly LLM-driven agents. Dozens of repositories, most of them private, are that direction in motion.
// open source
Code that ships: Featured repositories
public repos ·
followers ·
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// let's talk
Let's build something remarkable
Open to collaboration on AI systems, automation challenges, and full-stack products. Interested in integrations, scaling systems, or shipping new capabilities? Let's connect.