Shane is a Technical Program Manager at Google specializing in distributed systems and enterprise machine learning solutions. He leads the ultra-large-scale multimodal pre-training for Gemini, coordinating TPU v5 clusters and data pipelines. His background includes refactoring TensorFlows core stack. He attended The University of Texas at Austin.
Based on his shared content, Shane appears passionate about the intersection of technology and social impact, particularly in reshaping education for the future. He also shows a keen interest in following the latest breakthroughs and innovations in artificial intelligence, such as the evolution of Gemini models.
He has direct experience coordinating vast, cutting-edge hardware like TPU v5 clusters for large-scale AI model training.
Shane O.
Technical Program Manager, Gemini Large-Scale Pre-Training at Google
Beverly Hills, California, United States
Overview
Topics They Care About
Large-Scale ML
His current role focuses on the "ultra-large-scale" pre-training for Google's Gemini models, managing distributed systems and TPU v5 clusters to support this effort.
Multimodal AI
He supports multimodal inputs for AI, including text, images, and audio, as part of the Gemini pre-training program at Google.
ML Infrastructure
Previously, he was the ML API Lead at Google, where he refactored the TensorFlow core stack, integrated TPU APIs, and managed cross-platform model deployment.
Media Appearances
Shane has no verified media appearances
Work History
4-2024
Technical Program Manager, Gemini Large-Scale Pre-Training at Google
7-2015 - 3-2024
ML API Lead (Tech Lead/Manager) at Google
2005 - 2015
Technical Expert at ServiceNow
Education
Education details unavailable from The University of Texas at Austin
More Information
Social Presence :
Prographics :
Exp : 21
Location : Beverly Hills, California, United States
Job Level : Middle
Designation : Technical Program Manager, Gemini Large-Scale Pre-Training at Google
