Summary
Xuanji Xiao is an algorithm leader with 10+ years building large-scale recommender and information retrieval systems across Shopee, Tencent, Alibaba and Baifendian, currently leading algorithms for Shopee’s content e-commerce including feeds, live streaming and social commerce. He blends research and product impact—an early practitioner in IR and recommendation who has won ECIR 2024 and RecSys 2019 best-paper runner-up awards and open-sourced the influential OneRec project. Technically fluent in ranking, multi-task and reinforcement learning, lambda-style big data architectures, and production parallel computing, he has shipped CTR/CVR and long-term value solutions at internet scale. Comfortable bridging research and engineering, he routinely translates novel ML ideas into growth and ecosystem-facing features. Fluent in English and based in Shenzhen, he pairs strong academic foundations (MSc, Institute of Software CAS) with demonstrated cross-company delivery.
10 years of coding experience
8 years of employment as a software developer
Master of Science (MSc), Computer Science, Master of Science (MSc), Computer Science at Institute of Software, Chinese Academy of Sciences
English