Blog/Michael Wyatt

Michael Wyatt

Senior Software Engineer

Michael Wyatt is a senior software engineer at Snowflake, where he works on the AI team. His focus is on optimizing both training and inference for large language models through ArcticTraining and ArcticInference. Michael earned his PhD in Computer Science from the University of Delaware in 2020. Prior to Snowflake, he contributed to the LBANN project at Lawrence Livermore National Laboratory and helped advance large-scale model training as part of the DeepSpeed team at Microsoft. His work spans performance engineering, system-level optimization, and efficient deployment of cutting-edge AI models.

FEB 02, 2026Machine Learning

From General-Purpose to Domain Expert: Fine-Tune LLMs Directly in Snowflake

David Hung +2

JUN 24, 2025

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

Stas Bekman +8

MAY 29, 2025Gen AI

Arctic Inference with Shift Parallelism: The Fastest Open Source Inference System for Enterprise AI

Samyam Rajbhandari +8

Michael Wyatt

From General-Purpose to Domain Expert: Fine-Tune LLMs Directly in Snowflake

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

Arctic Inference with Shift Parallelism: The Fastest Open Source Inference System for Enterprise AI

Where Data Does More