Sheng Zha 查晟

I design model algorithms together with the systems needed to train them at scale. The goal is to improve model capability, reduce its cost, and make it useful to more people. I built my team from zero, beginning with distributed training and shared representations, and grew it into a group supporting foundation models used across AWS.

Before that, I helped shape the open-source AI ecosystem as VP and PMC Chair of Apache MXNet, co-authored the Gluon interface, founded GluonNLP, served on the ONNX Steering Committee, and co-founded the Python Data API Standards Consortium.

I want AI to expand what people can decide and create for themselves. I use that test when choosing research problems and leading teams.