Julian Glover
Software Engineer - High Performance Computing, Artificial Intelligence & Labs at Hewlett Packard Enterprise
Austin, Texas, United States
Summary
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Rockstar🎓
Top SchoolJulian Glover is a software engineer in Austin with four years of professional experience building web and cloud-native systems, currently focused on high performance computing and AI at Hewlett Packard Enterprise. He has a strong front-end pedigree—contributing React UI/UX improvements to the widely used open-source Determined ML platform—while also delivering serverless and infrastructure work on AWS, GCP, and Kubernetes. His background spans startups and enterprise roles where he modernized legacy systems, led API and integration projects, and improved observability and CI/CD pipelines. Trained as a chemical engineer, Julian brings a data-driven, systems-thinking approach to software design and a knack for simplifying complex workflows into intuitive interfaces. Colleagues rely on him to bridge product, design, and backend teams to ship polished, production-ready features.
4 years of coding experience
6 years of employment as a software developer
The University of Maryland, College Park
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
webui10
uid10
front-end-development10
ui-design10
react10
typescript-types9
typescript9
javascript9
typescripts9
ux-design8
Programming languages (2)
Github contributions (5)
determined-ai/determined
Apr 2022 - Jan 2023
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:
Front-end Developer
Front-end DeveloperContributions:329 reviews, 113 commits, 193 PRs in 9 months
Contributions summary:Julian primarily contributed to the development of the Determined web UI, focusing on React components and UI/UX improvements. They implemented drag-and-drop functionality for the experiment list table, added a modal to explain why users cannot delete items, and ensured the correct table offset for pagination. They also refactored the JupyterLab modal and added a theme toggle to user settings, demonstrating a focus on enhancing the user experience and improving UI interactions.
pytorchdata-sciencedeep-learningdistributed-trainingmachine-learning
julian-determined-ai/determined
Apr 2022 - Oct 2022
Determined: Deep Learning Training Platform
Contributions:290 pushes, 32 branches in 6 months
deep-learningpytorchmachine-learningtraining
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