SING Cloud | Next-Gen AI Cloud | Scalable AI Infrastructure Designed for Evolving Machine Learning Research
Description: Kaiqiang Xu, PhD in Computer Science, his research focuses on designing efficient and accessible systems for machine learning, with publications in top-tier conferences. Previously, as COO of Vincross Robotics (2016-2020), he led the development of a world-renowned all-terrain robot, gaining recognition from outlets like the Wall Street Journal.
My research focuses on improving the efficiency and accessibility of machine learning systems through novel abstractions, parallelization strategies, and scheduling algorithms that exploit workload patterns in large-scale GPU clusters. My approach draws on techniques from networked systems, architecture design, and data management.
I believe that the true impact of technology is shaped by its products. My focus is on innovating design in products and services to develop solutions that users love. With my extensive technical background, I aim to deliver exceptional user experiences while advancing technology. I was named to the Forbes 30 Under 30 list in 2020 (China) and 2022 (Asia) .
Earlier in my career: I received BSc in Computer Science from Renmin University of China (2012-2016). During my undergrad study, I worked in serveral startups including as an algorithm engineer at Zhihu.com . For more details, check my LinkedIn profile.
SING Cloud | Next-Gen AI Cloud | Scalable AI Infrastructure Designed for Evolving Machine Learning Research