James Nguyen
Senior Principal Cloud Solution Architect-AI ML at Microsoft
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolJames Nguyen is a Senior Principal Cloud Solution Architect at Microsoft with over 15 years of experience turning data science, machine learning, and cloud technologies into measurable business value. He leads AI/ML, Big Data, and Advanced Analytics initiatives across industries, driving generative AI, MLOps, and distributed ML transformations while publishing reusable solution accelerators and IP. Previously a founder and director, he blends startup grit—building a certified mobile payments platform with HSM-level security—with enterprise-scale delivery in IoT, SAP, and global ERP practices. An active contributor to Microsoft's MLOpsTemplate, he focuses on automating the ML lifecycle through active learning, data selection strategies, and deployment pipelines. Based in Bellevue, WA, he pairs an MS in Information and Data Science from UC Berkeley with a pragmatic talent for turning complex models into production-grade systems.
9 years of coding experience
16 years of employment as a software developer
Master of Science (M.S.) Information and Data Science, Master of Science (M.S.) Information and Data Science at UC Berkeley School of InformationMaster of Business Administration (MBA) Business Administration and Management General, Master of Business Administration (MBA) Business Administration and Management General at University of Hawaii at Manoa
English
Stackoverflow
141reputation
31kreached
2answers
3questions
Github Skills (17)
python10
mlflow10
azure-machine-learning10
mlops10
active-learning10
pandas9
data-pipelines9
scikit9
scikit-learn9
data-pipeline9
azure6
apache-kafka6
azure-blob-storage6
jdbc6
apache-spark6
Programming languages (10)
Github contributions (5)
microsoft/MLOpsTemplate
Feb 2022 - Oct 2022
Providing tools and templates to facilitate modern MLOps practices
Role in this project:
MLOps Engineer
MLOps EngineerContributions:1 review, 208 commits, 194 PRs in 7 months
Contributions summary:James's commits primarily involve modifications to the MLOps template, integrating active learning and simulation components. They are involved in creating and managing datasets, defining data selection strategies, and integrating data collection pipelines. Furthermore, they contribute to scoring components and the deployment of machine learning models. Their contributions indicate an emphasis on automating and optimizing the machine learning lifecycle within the provided MLOps framework.
active-learningdevopsmlopsdockermachine-learning
microsoft/ray-on-aml
May 2022 - Jan 2023
Turning AML compute into Ray cluster
Contributions:9 releases, 19 commits, 43 PRs in 7 months
rayturningazure-machine-learningamlcompute
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