Hoang P
Director, AI Solution Engineering at Hewlett Packard Enterprise
United States
Summary
🤩
Rockstar🎓
Top SchoolHoang P is a Director of AI Solution Engineering with 11 years of experience building and scaling deep learning infrastructure and production AI platforms. He leads global teams at Hewlett Packard Enterprise to prototype and productionize generative AI and high-performance GPU clusters while owning end-to-end data, model, and deployment stacks. Previously the first Solution Engineer at Determined AI, he drove GCP deployment automation and Terraform-based infrastructure for a widely used open-source distributed ML platform, bridging MLOps and DevOps. His background spans applied ML at Box and enterprise consulting at Deloitte, combining hands-on model engineering with pragmatic systems design. Hoang holds advanced data science training from UC Berkeley and is known for standardizing cloud deployments that make complex distributed training workflows reproducible and efficient.
10 years of coding experience
5 years of employment as a software developer
Master of Information and Data Science, Master of Information and Data Science at UC Berkeley School of InformationBachelor of Science Business Administration, Bachelor of Science Business Administration at University of California, Berkeley, Haas School of Business
Vietnamese
Github Skills (13)
terraformer10
google-cloud-platform10
mlops10
python10
terraform10
gcp10
distributed-training9
kubernetes8
hyperparameter-optimization8
kubernetes-pods8
data-science7
machine-learning7
deep-learning7
Programming languages (5)
Github contributions (5)
determined-ai/determined
Apr 2020 - Mar 2021
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Role in this project:
DevOps & MLOps Engineer
DevOps & MLOps EngineerContributions:26 reviews, 18 commits, 13 PRs in 11 months
Contributions summary:Hoang focused on deploying and configuring the Determined AI platform on Google Cloud Platform (GCP). Contributions include creating infrastructure deployment scripts using Terraform and integrating Determined with GCP services. They also worked on standardizing the GCP deployment process and improving its user interface. The user's work included adding features such as CPU platform specifications, demonstrating a strong understanding of cloud infrastructure and deployment automation, as well as managing hyperparameter optimization.
pytorchdata-sciencedeep-learningdistributed-trainingmachine-learning
hoanghphan/determined
May 2020 - Dec 2021
Determined: Deep Learning Training Platform
Contributions:27 pushes, 14 branches in 1 year 7 months
pytorchcaffe2deep-learningmachine-learningtraining
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