
Zhewei Yao
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/.
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Aug 6, 2026Gen AI
Building a Snowflake-Native SQL Autocomplete Model

Jul 29, 2026Data Engineering
ArcticMem: Persistent Memory behind Snowflake CoCo

Jun 2, 2026Gen AI
ArcticSwarm: Transforming Hybrid Deep Research for Enterprise Intelligence

May 27, 2026Gen AI
Arctic-Text2SQL-R2: What It Takes to Beat Frontier Models on Enterprise SQL

May 7, 2026Gen AI
Building Reliable Data Science Agents with DARE-Bench and PRISM-DS

Feb 13, 2026Gen AI
Agent World Model (AWM): Infinity Synthetic Environments for Agentic Reinforcement Learning

Nov 4, 2025Gen AI
Smarter, Faster and Snowflake-Native: Real-Time Text2SQL Behind Snowflake Intelligence

Jun 24, 2025
Arctic Long Sequence Training (ALST): Scalable And Efficient Training For Multi-Million Token Sequences

Jun 3, 2025Gen AI
Inside Snowflake Intelligence: Five Pillars of Enterprise-Grade Agentic AI

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