Seasoned leader in building & growing high-performance teams, and building platforms at web scale to empower rapid product innovations.
Leading a team of 40+ engineers on building an end-to-end big data and machine learning platform from batch/micro-batch/stream data processing, feature engineering, ML training to ML online serving and logging.
Key leader of efficiency initiative, saving millions-of-dollars infrastructure cost per year.
Led teams across engineering winning Best-Hack Award (2016), Project-X Award (2015), Best-in-Show Award (2014) in company wide hackathon events.
Yongsheng received his Master degree in Computer Science from Stanford University.
