Jing Dong

Led design, implementation, and launch of caption and comment for short-form video ad experiences at global scale. Built ranking-driven content surfacing infrastructure (mid-scene CTA headline, ranked comment discovery widgets, profile card, link preview). Owned full product lifecycle from technical design through dogfooding, experimentation, testing, launch planning, and production rollout. Architected client-side AI execution pipelines involving task planning, memory management, implementation workflows, and agent orchestration. Partnered across product, ML, and infrastructure teams to launch AI features serving billions of monthly active users, improving EBR by 4%. Developed internal AI productivity tool to enhance team collaboration and knowledge management.

Led design, implementation, and launch of caption and comment experiences for short-form video ads at global scale. Designed ranking-driven content surfacing infrastructure for mid-scene CTA/headlines, ranked comment discovery widgets, profile cards, and link previews. Owned full product lifecycle from technical design through experimentation, public testing, launch planning, and production rollout. Architected client-side AI execution pipelines including task planning, memory management, implementation workflows, and agent orchestration. Partnered with product, ML, and infrastructure teams to launch AI features at global scale serving billions of monthly active users and driving a 4% EBR improvement. Built internal AI productivity tooling (teamspace) to improve collaboration and knowledge management.

Built end-to-end iOS multimodal AI applications combining LLMs, image generation models, and workflow orchestration. Developed agentic workflows for content generation, reflection, personalization, and task automation. Implemented RAG pipelines using vector databases and semantic search for context-aware responses. Designed memory-aware AI systems with persistent user context and retrieval mechanisms. Built and deployed cloud-native back-end infrastructure using Python, FastAPI/Flask, AWS, and REST APIs. Led product development from concept to App Store releases.