Sa-ryong Kang
Senior Developer Relations Engineer, Android
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolSa-ryong Kang is a Senior Developer Relations Engineer for Android at Google with 11 years of software engineering experience and a background as a game programmer and entrepreneur across Nexon and startups in Silicon Valley, Seoul, and Bangalore. He helps major media and platform companies—such as Netflix, Warner Bros. Discovery, NBC Universal, LINE, and Kakao—adopt On-Device GenAI and XR solutions on Android. Hands-on in mobile development, he has contributed notable examples to high-profile open-source projects like TensorFlow examples (adding a Jetpack Compose sound-classification demo) and improved Wear OS health samples with bug fixes and feature work. Born in Osaka, raised in South Korea, and now based in Palo Alto, he blends cross-cultural perspective with deep Android and Kotlin expertise. Colleagues rely on him for translating cutting-edge research into practical, production-ready mobile experiences. Outside work he’s a pet-lover who brings the same curiosity to exploring new Android capabilities.
11 years of coding experience
Bachelor's degree, Bachelor's degree at Korea University
Korean, Japanese, English
Github Skills (12)
kotlin10
javas10
jetpack-compose10
wearos10
tensorflow10
ui-design10
android10
android-development10
java10
interface-design9
coroutines9
user-interface9
Programming languages (5)
Github contributions (5)
tensorflow/examples
Aug 2021 - Sep 2021
TensorFlow examples
Role in this project:
Mobile Developer (Android)
Mobile Developer (Android)Contributions:9 reviews, 11 commits, 3 PRs in 21 days
Contributions summary:Sa-ryong added a new example project for sound classification using Jetpack Compose within the TensorFlow examples repository. This involved creating a user interface with Compose UI elements, including a control panel, sliders, and progress indicators. The user integrated a sound classification model and implemented UI interactions for controlling the classifier and displaying results. The work also included modifications to the theme and ViewModel for better integration and performance.
tensorflow
android/health-samples
Oct 2021 - Oct 2021
Role in this project:Mobile Developer (Android)
Mobile Developer (Android)Contributions:6 commits in 10 days
Contributions summary:Sa-ryong primarily focused on bug fixes and enhancements within the Android application, specifically targeting the ExerciseSample module. Their contributions included resolving issues related to viewing aggregate metrics, GPS acquisition, and UI layout adjustments. The user also implemented features related to ambient mode and integrated with Health Services, demonstrating a focus on the application's core exercise tracking functionality and Wear OS integration. These changes involved modifying core fragments and services to ensure proper data display and functionality.
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