1. Quic-based Latency-Adjustable Video Streaming Protocol
• Developed a cross-platform (C++), QUIC-based video streaming protocol stack for Android and iOS to optimize global live-streaming performance.
• Architected a dynamic switching mechanism between high-quality (RTMP-like) and low-latency (RTC-like) modes, balancing visual fidelity with real-time interactivity.
• Improved user engagement metrics by tuning protocol performance to adapt to varying network conditions.
2. Live Streaming Continuous Test Automation (TL)
• Tech Lead for the mobile live streaming automation initiative, defining the strategic direction for end-to-end continuous testing.
• Built robust Python-based automation frameworks to validate video streaming stability and metrics logging accuracy across diverse mobile devices.
• Ensured high-quality user experiences by proactively identifying regressions in video playback and telemetry.
3. Dual-Channel Metrics Quality Measurement (TL)
• Spearheaded the strategy and implementation of a dual-channel metrics validation system to ensure 100% data integrity.
• Designed and constructed a flexible platform to detect and resolve telemetry mismatches, serving as a critical safeguard for business-critical data.
• Led a cross-functional effort to enforce metrics quality standards across the organization.
4. AI-Enhanced Metrics Quality & Protection
• Leveraged AI/ML models to automate the detection and debugging of complex metrics anomalies, significantly reducing manual investigation time.
• Built intelligent tooling that accelerated the root-cause analysis process for telemetry issues, enhancing overall data reliability.
• Streamlined metrics protection workflows, enabling faster release cycles with higher confidence.
