Zhixian Yan

• Worked on deployment and debugging of autonomous mobile robots (AGVs), involving real-world robotic perception and navigation systems. • Supported system-level integration of robotics software and hardware, including sensor-based navigation and automation workflows. • Analyzed system performance and operational data to identify issues in perception, localization, and system stability. • Participated in troubleshooting of autonomous systems in dynamic environments, improving robustness and real-time responsiveness. • Collaborated with engineering teams and clients to optimize robotics solutions for industrial automation applications. • Developed strong understanding of real-world AI system deployment, bridging the gap between algorithms and production environments.

• Developed scalable and responsive front-end modules for Suning's e-commerce platform using Vue3 and TypeScript, enhancing cross-platform compatibility of a large-scale e-commerce platform with over 1 million DAUs. • Utilized Element Plus UI library to build efficient and visually appealing pages; Resolved cross-origin data fetching challenges by implementing JSONP, enabling secure integration of multiple third-party services. • Explored integrating AI technologies to support intelligent application deployment and interaction.

• Evaluated Top-Down and Bottom-Up pose estimation methods using the MMPose framework on the COCO dataset, analyzing trade-offs in speed vs. accuracy under constrained compute. • Optimized inference for edge deployment using Raspberry Pi 5 with ONNX runtime, achieving <60ms/frame latency on quantized models. • Proposed improvements to sensor fusion strategy for SC-500 wearable sleep monitoring device by integrating motion and pressure signals.