Qingyi Lu

Led the re-architecture and modernization of a medical imaging annotation platform using React, replacing the legacy jQuery-based implementation to support evolving business needs and improve maintainability. Collaborated with radiologists to deliver a UI/UX optimized for CT and MRI image labeling, ensuring high usability and accuracy for clinical experts. Supported the AI team by enabling the generation of high-quality structured annotation data used to train medical imaging models. Contributed to another product line targeting under-resourced rural areas, helping to integrate AI-powered diagnostic tools and expand healthcare access through local government partnerships. Worked closely with cross-functional teams, including backend engineers and AI researchers, to deliver scalable and reliable front-end solutions across both product lines. Participated in the company’s medical qualification certification process, responsible for collecting documentation and proofreading technical ma

Developed a low-code platform using React that allowed designers to manipulate UI components directly, reducing development time by 30%. Worked in collaboration with Unity3D developers to integrate real-time 3D scene displays, facilitating monitoring of park operations with UAV data visualization. Participated in the development of over 30 front-end projects for local public security systems. Contributed to the development and documentation of internal UI component libraries to enhance consistency and reusability. Designed and implemented large-screen data visualization dashboards showcased at the Shanghai Expo, leading to new business wins including the Kunshan Customs project. Supported on-site development work in major Chinese cities, and actively participated in weekly technical sharing sessions with presentations on Three.js for 3D data visualization and proposals to modernize the front-end tech stack.