Google Cloud Certified ML Engineer building production ML pipelines, backend APIs and cloud-native infrastructure — from model training to containerised deployment on GCP. Founder of Axene.io.
I'm a Google Cloud Certified ML Engineer and backend developer who learned this craft from research papers and shipped systems, not a bootcamp. Today I run Axene.io, a B2B infrastructure platform giving African SMMEs local-first, M-Pesa-compatible alternatives to USD-priced SaaS — email, chat, payments, domains, analytics and workspace tools, one API at a time.
Alongside Axene I mentor rising data professionals, lead AI/ML programming for GDG Nairobi and She Code Africa, and spend most weekends in a room full of laptops helping someone else ship their first model. I care about the full lifecycle — data engineering, training, containerised deployment on GCP — and about building tools that actually make sense for the market they're built for.
A route through founding, mentoring, and building — in order.
From a mail server for SMEs to an agent that manages its own MLOps.
End-to-end engineering of Axene Mail, Axene Meet and an integrated CRM — affordable alternatives to USD-priced SaaS for the Kenyan SMME market.
99.9% uptime in production visit axene.io ↗Built FestBuddy, an NLP-powered assistant for event vendor coordination and budget optimisation, presented live to industry judges.
1st Runner-Up — KES 300,000 scholarship visit festfiti.vercel.app ↗An AI tutor named Doma guides students through the CBC curriculum, with dedicated student, teacher and parent roles.
Winner — Claude Hackathon, Elimu (Education) track visit nia-km4t.onrender.com ↗Backend for a financial health dashboard integrating M-Pesa transaction data with AI-driven predictive cash flow forecasting for African SMEs.
view on GitHub ↗An agentic system that performs its own EDA, designs its pipeline architecture, and self-packages for GCP Cloud Run deployment.
view on GitHub ↗Automated NLP pipeline that tracks and categorises gender-based-violence coverage in real time for advocacy groups.
100/100 — technical executionPanels, hackathons, workshops — the version of this work that happens with other people in the room.
I'm open to AI, ML and data science roles alongside running Axene — happy to talk about either.