
Worked on the awslabs/freertos-webrtc-reference-on-amebapro-for-amazon-kinesis-video-streams repository, focusing on enhancing the robustness of peer connection workflows in embedded systems environments. Addressed a runtime error that occurred when Transport-wide Congestion Control (TWCC) was disabled by implementing conditional compilation for TWCC-specific code. This approach ensured that peer connection helper functions operated reliably in configurations without TWCC, reducing potential errors and improving system stability. Utilized C as the primary programming language, applying expertise in embedded systems, networking, and real-time operating systems. The work demonstrated careful attention to edge cases and contributed to more resilient WebRTC integration for constrained devices.
May 2025 monthly summary for the repository awslabs/freertos-webrtc-reference-on-amebapro-for-amazon-kinesis-video-streams. Focused on improving robustness and reliability of the peer connection workflow in the absence of Transport-wide Congestion Control (TWCC).
May 2025 monthly summary for the repository awslabs/freertos-webrtc-reference-on-amebapro-for-amazon-kinesis-video-streams. Focused on improving robustness and reliability of the peer connection workflow in the absence of Transport-wide Congestion Control (TWCC).

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