Ke Wu

Ke Wu has a work history that includes the following positions:

- Software Engineer at Citadel Securities since October 2020

- Software Engineer FTAP at Citadel from August 2020 to October 2020

- Software Engineer Intern at Lyft from May 2019 to August 2019

- Software Engineer Intern at DiDi from July 2017 to February 2018

During their internship at Lyft, Ke Wu was responsible for leading the design and development of Load Rebalancer, which addressed load unbalance problems in Kafka clusters and reduced maximum message latency by 50% under 100% Lyft data traffic volume. They also deployed Load Rebalancer as RESTful API microservices with Docker on Kubernetes to serve all Kafka clusters at Lyft and integrated the open-source tool cruise-control to automate the rebalance process, reducing cluster operation time by 67%.

At DiDi, Ke Wu led the development of the Luxury Driver Dispatch product for novice luxury drivers, increasing total revenue by 12% in simulation. They also designed and developed a driver-rider simulation system in Python and refactored all Hive SQL scripts with Apache Spark, reducing the running time of data processing by 50%.

Ke Wu completed a Bachelor of Engineering in Computer Science at Harbin Engineering University from 2014 to 2018. Subsequently, Ke Wu pursued further education and obtained a Master of Computer Science degree from Rice University, specializing in the field of Computer Science. This was achieved between the years 2018 and 2020.