February 2025 monthly summary for jellyfin/jellyfin-androidtv: Implemented Per-Decoder Maximum Resolution per Codec to determine the max supported resolution per decoder for H.264, H.265, and AV1, aligning streaming capabilities with device hardware and avoiding unnecessary transcoding. This involved a refactor of the resolution-determination logic to query per-decoder capabilities, and a targeted commit to fix max-resolution handling for common codecs. The update reduces transcoding load, improves playback quality and reliability on Android TV, and demonstrates strong capability in codec-aware decisioning and performance optimization.

December 2024: Established the Federated Learning Use Case Foundation in GoogleCloudPlatform/accelerated-platforms with foundational docs, README updates, and infrastructure provisioning (Cloud Build and Terraform) to enable infrastructure and begin user-facing federation workflows. This work creates the baseline for federated ML experiments, scalable CI/CD, and reproducible infrastructure.