Summary
Xiaolan Jiang is a Staff AI Engineer and tech lead with 10 years of experience applying deep learning and reinforcement learning to real-world products, from recommendation systems to self-driving workflows. Based in Chiyoda, Japan, she has spearheaded agentic AI products at CTW—building a customer‑service agent that automates ~70% of tickets, a data‑analysis agent that generates SQL-backed reports, and an enterprise OS agent under development. Her background includes building contextual bandit and DRL solutions for online recommendation at Rakuten and evolving translation and creative pipelines that outperformed major services through fine-tuning, RAG, and style/terminology controls. Xiaolan pairs research-level knowledge (PhD-level training) with hands-on model engineering—often owning end-to-end systems like multi-agent planners, MLLMs, and production CV/SD pipelines—and is deliberately broadening her expertise to "know something about almost everything" in AI while knowing RL in depth.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Systems Networking and Telecommunications, Doctor of Philosophy - PhD, Computer Systems Networking and Telecommunications at National Institute of Informatics
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at University of Science and Technology of China