Blog/Zhewei Yao

Zhewei Yao

Staff Software Engineer

Zhewei Yao is a senior scientist and SDE II at Snowflake as a founding member of Snowflake large scale training. Before this, Zhewei was a principal researcher and R&D manager at Microsoft, working on efficient large scale training and inference. He obtained his Ph.D. degree from University of California at Berkeley, where he was a Ph.D. researcher in https://bair.berkeley.edu/, https://rise.cs.berkeley.edu/ (https://amplab.cs.berkeley.edu/), https://deepdrive.berkeley.edu/, and https://math.berkeley.edu/.

MAY 07, 2026Gen AI

Building Reliable Data Science Agents with DARE-Bench and PRISM-DS

Fan Shu +6

FEB 13, 2026Gen AI

Agent World Model (AWM): Infinity Synthetic Environments for Agentic Reinforcement Learning

Zhaoyang Wang +6

NOV 04, 2025Gen AI

Smarter, Faster and Snowflake-Native: Real-Time Text2SQL Behind Snowflake Intelligence

Lukasz Borchmann +5

JUN 24, 2025

Arctic Long Sequence Training (ALST): Scalable And Efficient Training For Multi-Million Token Sequences

Stas Bekman +8

JUN 03, 2025Gen AI

Introducing Arctic Agentic RAG: Smarter, Faster and More Reliable AI for Enterprise

Yuxiong He +1

Zhewei Yao

Building Reliable Data Science Agents with DARE-Bench and PRISM-DS

Agent World Model (AWM): Infinity Synthetic Environments for Agentic Reinforcement Learning

Smarter, Faster and Snowflake-Native: Real-Time Text2SQL Behind Snowflake Intelligence

Arctic Long Sequence Training (ALST): Scalable And Efficient Training For Multi-Million Token Sequences

Inside Snowflake Intelligence: Five Pillars of Enterprise-Grade Agentic AI

Smaller Models, Smarter SQL: Arctic-Text2SQL-R1 Tops BIRD and Wins Broadly

Evaluating Multimodal vs. Text-Based Retrieval for RAG with Snowflake Cortex

Think. Execute. Excel: Arctic Text2SQL with Execution-Guided CoT

Introducing Arctic Agentic RAG: Smarter, Faster and More Reliable AI for Enterprise

Where Data Does More