Native iOS application
Built charging discovery with MapKit, stop details, saved places, vehicle context, and journey-planning interfaces in Swift and SwiftUI.
Selected impact / 05 of 05WAYVIQ · EV mobility / Product development
An EV journey product.
Built end to end with AI.
I built WAYVIQ’s complete pilot using AI-assisted development: a native iOS driver app, backend APIs, an operator console, and commercial websites. The product brings charging discovery, stop information, and vehicle-aware trip planning into one connected experience.
My contributionComplete product build
AI-assisted development · Invite-only pilot
AI-assisted development · Invite-only pilot
STOP INTELLIGENCETHE WHOLE STOP
Stop Score
A better stop,
not just a charger.
ChargingAmenitiesExperience
THE DRIVER EXPERIENCE / NATIVE iOSA better journey.
A better journey.
At every stop.
One connected experience for the road ahead—from finding a destination to understanding the stop.
Your journey, in view.
A starting point for destinations, charging, and the EV you drive.
Find a better stop.
Explore charging locations with a native map and useful stop context.
Know before you arrive.
Review charging evidence, connectors, and the details around each stop.
WAYVIQ / Native iOS product capturesProduct preview · Displayed data may be illustrative
01 / OwnershipEnd-to-end product build
02 / DeliveryAI-assisted development
03 / StageInvite-only iOS pilot
THE PLATFORM I BUILTThe workspace behind
The workspace behind
the charging journey.
From network context to route decisions and property-level visibility, the admin platform brings the product’s operational workflows together.
A useful stop needs more than a charger pin.
EV drivers need to understand charging options in the context of their vehicle, route, and the places around a stop. Property operators need a coherent way to review their locations and associated charging information.
WAYVIQ connects those perspectives through a driver experience and an operator platform. Building both sides gave me direct experience translating an EV product concept into interfaces, data models, APIs, and working software.
One product across mobile, platform, and web.
Backend APIs and data
Built a Next.js and TypeScript platform with PostgreSQL and Prisma, connecting the driver app to charging, vehicle, and trip-planning services.
Property and charging console
Built an operator environment for reviewing properties, chargers, sessions, analytics, and reporting using stored demo data.
Commercial websites
Built the web presence explaining the driver experience, property proposition, trip intelligence, and partner platform.
AI-assisted execution with clear product boundaries.
I used AI to build the complete product across the mobile application, backend, operator tools, and websites. My ownership spans the customer experience and the technical systems connecting it.
The pilot includes invite-only driver authentication, device Keychain storage for session tokens, server-side session expiry and revocation, and account-scoped access. The app distinguishes unavailable account services and uncertain charging information rather than substituting sample account data when requests fail.
This work complements my experience leading engineering organizations at scale: it demonstrates current hands-on product execution in EV mobility, alongside platform architecture and operational judgment.
A complete product build at pilot stage.
WAYVIQ is an invite-only iOS pilot with backend services and a demo operator environment. The result is a tangible EV product spanning driver discovery, trip planning, operator workflows, and commercial presentation.
The pilot does not establish a live charging network, remote charger control, payment processing, or production operating results.
iOSNative driver experience
PlatformAPIs and operator workflows
AIAssisted the full build