Skip to main content
Shirley H Brown

Shirley H Brown

Senior Mobile EngineerSenior Mobile Engineer

New York CityMember since September 1, 2026
·

About

Senior Mobile Engineer with 10 years building and shipping crossplatform and native mobile apps using React Native, Expo, TypeScript, Swift, ObjectiveC, Kotlin, and Java. Delivered 20+ iOS/Android/macOS applications with 4M+ combined installs; developed performance-critical native modules and iOS/Android bridges, and implemented ondevice ML (Core ML, TensorFlow) for production features. Strong expertise in mobile architecture, media and audio processing (AVFoundation, FFmpeg, Metal), Expo Application Services (EAS), REST/GraphQL integrations, testing & monitoring, and endtoend App Store/Google Play release pipelines—focused on improving stability, reducing crashes and battery impact, and driving measurable user outcomes.

Experience

Senior Software Engineer / AI & Mobile Engineer at First Orion (2019-10 – 2026-04)

  • Led design and delivery of mobile and AI-driven caller-identification features for production branded-calling products.

  • Implemented production React Native features using TypeScript/JavaScript and contributed native iOS/Android modules in Swift, ObjectiveC, Kotlin, and Java to support performance-critical flows.

  • Architected and delivered native bridges for background processing, telecom integrations, and media pipelines to expose platform capabilities to React Native.

  • Owned release engineering tasks: build signing, provisioning, App Store Connect and Google Play Console submissions, and coordinated production rollouts.

  • Partnered with product, backend, design, QA, and data teams to plan, ship, and support customer-facing mobile capabilities and drive measurable improvements in reliability and user experience.

  • Improved app stability and performance through profiling, concurrency and memory optimization, background-task management, and systematic debugging.

  • Built backend services and ML-driven workflows for caller-identity scoring and pattern detection to reduce manual review and improve decision support.

  • Owned post-release support: investigated production incidents using monitoring data, coordinated fixes, and delivered reliable updates across iOS and Android.

Software Consultant at Fast Enterprises (2018-01 – 2019-10)

  • Developed and maintained backend systems using.NET, C#, and Microsoft SQL Server with emphasis on scalability and maintainability.

  • Improved internal workflows by implementing database-driven business logic and automation to accelerate processing.

  • Built fraud-scoring models for tax returns using historical datasets and statistical methods to identify anomalous patterns.

Software Engineering Intern at ArcBest Technologies (2016-05 – 2016-08)

  • Developed C# applications to support internal business users, delivering reliable tooling to improve day-to-day operations.

  • Improved database workflows and implemented automations that reduced manual operational effort.

  • Wrote unit tests and documentation to improve maintainability and handoff readiness for future teams.

Independent App Developer at Personal Mobile Products (2016-09 – Present)

  • Designed, developed, published, and maintained 20+ iOS, Android, and macOS applications with 4M+ combined installs, owning product strategy, releases, and analytics.

  • Built cross-platform apps with React Native, Expo, TypeScript, and native components in Swift, Objective-C, Kotlin, and Java; developed native modules and bridges for performance-critical media, audio, ML, storage, and background processing.

  • Used Expo Application Services (EAS Build/Submit/Update), Fastlane, TestFlight, App Store Connect, and Google Play Console to manage builds, signing, store submissions, staged releases, and over-the-air updates.

  • Integrated AVFoundation, FFmpeg, Metal, Core ML, TensorFlow, WebRTC, push notifications, Firebase, secure key management, and subscription monetization.

  • Designed resilient mobile architectures with reusable components, predictable state management, offline support, API synchronization, caching, and analytics-driven improvements.

  • Implemented automated testing, crash reporting, performance profiling, and production monitoring to continuously improve quality and reliability.

Education

Bachelor's Degree in Computer Science – University of Arkansas, Fayetteville (2015-04 – 2017-05)

Reviews