GMate is an AI assistant for social-media marketing and commerce. At Watt, I helped evolve it from a fixed workflow into a closed-loop agent that uses personal preferences, factual data, and structured strategy experience to guide future actions.
For the Xiaohongshu product released in December 2025, I led performance and reliability work, including parallel preloading, end-to-end observability, and retrieval improvements. The product recorded 7,875 uses and 426 active users in its launch month.
For the TikTok Shop product-selection assistant, I designed a LangGraph-based multi-agent architecture and a browser tool combining DOM access with visual understanding. I also built tracing and retrieval-enhanced evaluation for the agent’s reasoning and outputs.
Earlier work included an event knowledge graph connecting trending topics to more than 20,000 entities and a multimodal content engine for text, image, and video generation.