Mobile engineering

React Native & Expo mobile engineering

I build mobile products as complete systems rather than isolated screens: app architecture, navigation, secure authentication, native device capabilities, API integration, local persistence, analytics, testing, release, and the backend workflows required to support the product.

What this looks like in practice

Voice recording, playback, reminders, goals, biometrics, secure token storage, and store release workflows in JournPad.
Invoice-linked rent payment and reconciliation workflows in RentPayor.
Driver, cargo, location, reservation, and payment operations in Macsim Cargo.
Wardrobe, image-analysis, location, OAuth, and recommendation workflows in AI Stylist.

Core technologies

React NativeExpoTypeScriptExpo RouterEAS BuildExpo UpdatesSQLiteSecureStoreAsyncStorageiOSAndroid

Project evidence

Products that demonstrate this capability

Each project below links to a deeper case study covering product scope, engineering ownership, supporting systems, and production evidence.

SaaS · Case study

JournPad: Voice Journal

Voice-first journaling app that preserves the original recording, transcribes spoken entries, and uses AI to generate useful titles, summaries, and categories. Entries can be searched and revisited by date, linked to goals, supported by reminders and prompts, and protected with account, deletion, and optional biometric controls.

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Enterprise · Case study

RentPayor

Rent collection and reconciliation software for landlords and property managers. RentPayor creates rent invoices, lets tenants pay KES rent through an invoice-linked M-Pesa flow, automatically reconciles confirmed payments, and keeps partial balances, carried-forward credits, receipts, leases, units, tenants, and manual payment records in one rent ledger.

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Enterprise · Case study

Macsim Cargo

Cargo and logistics operations platform spanning mobile field workflows and back-office administration. Macsim handles loads, reservations, driver assignments, trip tracking, documents, notifications, fleet operations and finance, with a guarded M-Pesa/Daraja flow for funding a collection-account ledger and paying drivers in full or partial load installments.

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SaaS · Case study

AI Stylist

Mobile wardrobe-management and outfit-recommendation product. Users create wardrobes, upload clothing photos for AI-assisted category, tag, and description analysis, and generate one-time, daily, or weekly outfit suggestions that can use precise local weather; recommendation history is stored locally in SQLite and designed to sync with the cloud.

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Let's work together

Looking for an engineer who can own the product beyond a single layer?

I'm interested in senior product engineering work across web, mobile, backend, and integrations—especially teams shipping real products end-to-end.

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