Summary
Xingxing Geng is an applied scientist with 8 years of experience building ML-driven products and production systems, currently developing agentic chatbots and RAG solutions at Amazon. With a Columbia MS and a UCSB BS in Computer Science, she has moved from ML internships to engineering and applied-science roles, shipping recommendation models and large-scale AWS data pipelines for Prime Video. Her strengths lie in translating rigorous, math-first CS foundations into practical, measurable products—evident in a two-tower recommendation model and a 200+GB/day Athena metrics pipeline deployed with AWS CDK. Comfortable across research and production, she combines model development, automation, and cross-functional collaboration to deliver internal tools that improve communication and user experiences. Notably, she has hands-on experience accelerating model iteration via automated data processing and pragmatic metric dashboards that drive operational decisions.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at UC Santa Barbara
Master's degree, Computer Science, Master's degree, Computer Science at Columbia University