Bio:

Jiting Xu is a machine learning practitioner with over 10 years of experience applying machine learning, deep learning, and large language models (LLMs) to ranking, recommendation, and fraud detection systems across fintech, marketplace, travel, and on-demand delivery industries.

He focuses on building adaptive, data-driven systems that optimize predictive performance and user experience through LLM reasoning, real-time decisioning, and scalable infrastructure. Jiting leads teams developing continuous learning frameworks, automated feedback loops, and production-ready ML solutions. His interests include LLM–ML hybrid systems, LLM-agents, and translating research into real-world impact.