
Riandy worked on the meta-llama/llama-stack-apps repository, delivering real-time streaming inference to enhance user experience by enabling remote streaming and dynamic UI updates in Android’s MainActivity. Using Kotlin and Java, Riandy extended the inference pipeline to support streaming responses, reducing perceived latency and laying groundwork for future features. In addition, Riandy improved Android reliability by documenting ExecuTorch compatibility for model export and implementing a robust URI-to-file-path resolution method, addressing device-specific issues such as those on Google Pixel. The work demonstrated strong skills in Android development, API integration, and documentation, resulting in more stable image handling and streamlined release processes.

February 2025 (meta-llama/llama-stack-apps) focused on Android reliability and cross-device compatibility for model export and image handling. Delivered two primary items: (1) ExecuTorch compatibility guidance documented for Android exports and linked to the correct release branch to prevent compatibility issues; (2) Robust URI-to-file-path resolution for Android images, implementing a more reliable query method to retrieve file paths across devices (notably Google Pixel). These efforts reduce export and runtime failures, stabilize image pipelines on Android, and strengthen release-readiness. Demonstrated strong Kotlin/Android capabilities, thorough documentation, and alignment with release processes, delivering measurable business value through improved stability and easier maintenance.
February 2025 (meta-llama/llama-stack-apps) focused on Android reliability and cross-device compatibility for model export and image handling. Delivered two primary items: (1) ExecuTorch compatibility guidance documented for Android exports and linked to the correct release branch to prevent compatibility issues; (2) Robust URI-to-file-path resolution for Android images, implementing a more reliable query method to retrieve file paths across devices (notably Google Pixel). These efforts reduce export and runtime failures, stabilize image pipelines on Android, and strengthen release-readiness. Demonstrated strong Kotlin/Android capabilities, thorough documentation, and alignment with release processes, delivering measurable business value through improved stability and easier maintenance.
December 2024 — meta-llama/llama-stack-apps: Delivered Real-time Streaming Inference, adding remote streaming to the inference pipeline and real-time UI updates in MainActivity. No major bugs documented this month. This work improves user experience by reducing perceived latency and sets a foundation for future streaming features.
December 2024 — meta-llama/llama-stack-apps: Delivered Real-time Streaming Inference, adding remote streaming to the inference pipeline and real-time UI updates in MainActivity. No major bugs documented this month. This work improves user experience by reducing perceived latency and sets a foundation for future streaming features.
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