Vijay Reddy Email & Phone Number

New York, New York, United States

• Programmed Native Android App to Google Play Store• Built A/B tested features, fixed bugs, and performed spikes• Created UI using Jetpack Compose and Material Components• Built UI Navigation flows using Navigation Components• Fetched API endpoints using Kotlin Coroutines and Kotlin Flows• Used MVVM architecture to access ViewModel LiveData in Fragments• Used TensorFlow ML model to build on-device smart search feature• Used GPU Delegates to optimize TensorFlow model performance• Used GPT-4o AI to generate structured JSON responses for UGC• Cached relevant data using repositories with specified data persistence• Used JUnit for TDD unit tests and mocked data with Mockito• Used Espresso for Instrumented Tests• Used Android Profiler and LeakCanary to detect network/memory leaks• Collaborated with web and iOS devs to ensure parity• Pushed to GitHub and prepared Gradle to publish apps on Google Play• Used continuous integration ( CircleCI ) to test and release build APK’s• Wrote user stories for new features and bugs in JIRA• Worked in Scrum / Kanban using Agile methodologies

New York, New York, United States

• Programmed Android apps• Tested backend REST APIs through Postman• Integrated APIs with Retrofit and observed with RxJava Subscribers• Managed threads with RxJava Schedulers• Cached user data using SharedPreferences• Troubleshooted NFC technology • Built XMLs into layout view files for UI / UX• Used Dagger 2 for dependency injection• Used Localytics SDK to collect app crash and analytics data• Pushed apps to BitBucket and prepared Gradle to publish on PAX store• Used continuous integration (Jenkins) to release build APK’s

Austin, Texas, United States

• Programmed mobile app in Java and Kotlin with Android SDK• Used SQLite DB with Content Provider and Room Persistence Library• Accessed MongoDB data asynchronously by REST API• Used Multi-Threading and throttling for API concurrency • Implemented Google Map API for user location sharing• Loaded videos to Amazon S3 using Executor• Used RecyclerView and Glide to load user video thumbnails• Played videos with Exoplayer and edited with ffmpeg• Used Fabric and Flurry SDK to collect app crash and analytics data