Gary Ng is a forward-deployed engineer and generative AI specialist with over 20 years of experience building knowledge-graph driven systems, large-scale data platforms, and machine learning products. He blends deep academic training (PhD in Computer Science) with hands-on leadership across startups and Google, delivering high-throughput data pipelines, patented process-orchestration algorithms, and ML solutions that have driven M&A outcomes. Comfortable in player-coach roles, he has led data science and engineering teams to productionize location-based audiences, fraud detection, and ad-ranking systems handling petabyte-scale data and hundreds of thousands of requests per second. Recently focused on conversational AI and NLP, he brings a consistent theme of closing the gap between humans and the precise information they need through pragmatic, research-informed engineering. Colleagues describe him as a scientist at heart and a compassionate, integrity-driven leader who thrives on collaborative problem solving.
6 years of coding experience
19 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at The University of Manchester
This repository makes it simple to use DeepSpeed for multi-hosts multi-GPUs model training on Vertex AI. It provides the scripts to build a custom container. When deployed in a multi-node cluster with Vertex AI custom training, the container automatically establishes inter-node communication ready for DeepSpeed.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.