
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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Oct 27, 2026Gen AI
SnowPR: Benchmarking Coding Agents on Snowflake's 43-Million-Line Monorepo

Oct 26, 2026Gen AI
HybridResearcher: Bridging the Structured-Unstructured Boundary for Deep Research Agents

Oct 23, 2026Gen AI
Overfit First, Then Scale: Arctic-SWE and the Missing Baseline for Agentic RL

Aug 31, 2026Core Platform
Experience Cards: Team-Owned repo Memory for CoCo

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

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