At TikTok, I build large-scale analytics and machine learning workflows for TikTok Pulse, Branded Mission, and Creator Marketplace. My work improved campaign measurement coverage by 20% and creator-to-campaign relevance by 12%.
Previously at Meta and Chegg, I used experimentation, causal inference, predictive modeling, and recommendation systems to improve marketplace conversion, lead quality, and student engagement. I bring an early backend engineering foundation to production-ready data products, including LLM, RAG, MLOps, and model monitoring workflows.
