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.

Latest writing

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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.