YuChen Liu

- Owned end-to-end delivery of AI-powered creative tools and SEO-driven product features for MyEdit and MyEdit Business, serving large-scale customer-facing workflows. - Led cross-functional execution across Product, Design, SEO, QA, and Engineering teams, consistently delivering features on schedule while balancing technical constraints and business priorities. - Initiated and drove the development of an AI-assisted testing framework integrated into CI/CD pipelines, reducing project delivery timelines from 6 months to 1 month. - Built automated business intelligence pipelines by integrating Google Analytics and multiple external data sources, reducing reporting effort by 86% and improving data processing efficiency by 97%. - Played a key role in delivery planning, effort estimation, and risk assessment across multiple parallel projects, improving execution predictability and on-time delivery.

- Analyzed emerging network architectures (5G/6G) and MEC frameworks, evaluating their potential for high-bandwidth and low-latency applications in edge computing environments. - Evaluated the integration of complex systems, such as LEO satellite communications, focusing on technical feasibility and network architecture optimizations.

- Developed a Python-based automated testing tool for cross-platform (x86/ARM) embedded systems, reducing manual testing effort and improving hardware validation coverage. - Performed comprehensive system-level testing across various OS environments, identifying edge cases and ensuring high system stability before release.

#On Leave Scholarship: NSTC Doctoral Research Scholarship

Research Focus : Software Defined Networking (SDN) , Segment Routing IPv6 (SRv6), Traffic Engineering, Network Resilience