• New User Acquisition – Own the full free-trial signup and conversion pipeline (UI, backend services, sales/self-serve integration).

• AI-enhanced Feature Adoption – Lead the design and implementation of Winterfest, an internal promotion platform delivering personalized feature recommendations powered by predictive models. Integrated targeting algorithms that adapt in real time to user behavior, increasing promotion-driven feature usage by 50–100%.

• Established AI-assisted engineering workflows, standardizing LLM-based coding, automated test generation, and documentation creation.

• Built an internal AI-driven dashboard tool leveraging RAG on high-quality past queries to accelerate data analysis and query generation for North Star metric tracking.

• Partner with PMs, data scientists, and engineers to define North Star metrics, run controlled experiments, and scale successful strategies.

• Built a chat-based creation interface in Effect House, allowing creators to design custom video effects with natural language prompts powered by GPT-based language models.

• Designed scalable backend APIs for effect rendering and processing in TikTok’s effect backend.

• Contributed to model evaluation and prompt engineering strategies to balance creativity, safety, and performance in production deployment.

Believe that a "doc" should be redefined.

Key achievements:

• Designed and implemented secure, isolated execution environments for third-party code.

• Scaled backend infrastructure to support public usage and platform growth.

• Led the authentication system migration and significantly improved system performance.

• Authored the developer protocol and SDK used by external builders to create Packs.

• Contributed across the stack, from frontend UI integration to backend APIs and infrastructure.

Build ads products.