Authentication & application security
I prefer the backend to remain the central source of identity and authorization truth. On mobile, sensitive tokens belong in secure storage while non-sensitive state can use ordinary local persistence. For higher-risk products, I design around permissions, isolation, verification, auditability, and explicit revocation rather than trusting the client.
What this looks like in practice
Core technologies
Project evidence
Each project below links to a deeper case study covering product scope, engineering ownership, supporting systems, and production evidence.
SaaS · Case study
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.
Read case studyEnterprise · Case study
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.
Read case studyEnterprise · Case study
Hospital management information system connecting patient registration, OPD, emergency, inpatient care, orders, referrals, theatre, billing, ambulance, mortuary, duty coverage, patient movement, documents, and facility operations. Its latest public draft also adds facility-bound M-Pesa patient invoice collection with encrypted merchant credentials, callback verification, idempotent receipt handling, and invoice reconciliation.
Read case studySaaS · Case study
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.
Read case study