Mobile Software Engineer
Nicholas Bravata
Mobile software engineer with 4+ years of experience specializing in iOS development with Swift. I architect and ship enterprise-scale apps, with deep involvement in Ford Credit's migration from React Native to native Swift and Apollo GraphQL.
- • 4+ years building production mobile apps, with a focus on iOS and Swift.
- • Key contributor to Ford Credit's native rewrite (850K+ iOS users, 1M+ total MAU).
- • iOS analytics technical lead on a 15+ engineer distributed team.
- • Background in AI/ML and full-stack development before specializing in mobile.
Current Role
Mobile Application Developer at Ford Motor Credit.
High-level takeaways from contributing to a large-scale native rewrite: architecture, GraphQL, and team coordination without confidential details.
Personal Portfolio
A Next.js portfolio showcasing experience, projects, and contact.
→- • Next.js App Router, TypeScript, Tailwind CSS, and light/dark theme.
- • Content-driven from resume-aligned data modules; deploys on Vercel.
- • Browse the live site for experience, projects, and contact.
iOS & SwiftUI Samples
Small SwiftUI experiments and patterns for learning and interview prep.
→- • Exploratory SwiftUI views and patterns (navigation, state, layouts).
- • Hands-on samples for learning and interview discussions.
- • Complements enterprise iOS work outside of proprietary codebases.
Ford Credit Mobile App
Enterprise finance mobile app serving 850K+ iOS users and 1M+ total monthly active users.
→- • Key contributor to the React Native → native Swift/Kotlin migration with Apollo GraphQL.
- • 850K+ iOS users and 1M+ total MAU; iOS analytics technical lead on a 15+ engineer team.
- • Shipped auth, payments, onboarding, and core account workflows at enterprise scale.
Ford Credit Mobile Component Library
Shared design-system component library for Ford Credit mobile applications.
→- • Atomic-design component library shared across iOS and Android.
- • Helped establish design-system standards for Ford Credit mobile teams.
- • Reduced duplicated UI work across a large distributed engineering org.
Dashboard Indicator Vision Models
Computer vision tooling to speed up vehicle dashboard approval workflows.
→- • Computer vision models to detect dashboard indicators for Product Development.
- • Worked with Ford AI/ML infrastructure on PyTorch, TensorFlow, and GCP.
- • Internal project; models and datasets are not publicly shareable.