James Hollyer
Software Engineer at Booz Allen Hamilton
Baltimore, Maryland, United States
Summary
🤩
Rockstar🎓
Top SchoolJames Hollyer is a software engineer with a decade of experience building user-focused applications, currently at Google in Baltimore. He brings front-end expertise demonstrated by contributions to TensorFlow's widely used TensorBoard project, where he improved UI behavior, linked-time histogram features, and data table usability. His background spans bioinformatics and enterprise software roles at Med Data Quest, Everyone Counts, Booz Allen Hamilton, and Sogeti, giving him a blend of domain knowledge and systems thinking. A UMBC computer science graduate, he combines production-grade engineering with attention to UX details that quietly improve developer and researcher workflows.
10 years of coding experience
3 years of employment as a software developer
UMBC
Github Skills (11)
uid10
typescript10
javascript10
typescripts10
front-end-development10
ui-design10
line-chart10
react10
typescript-types10
interface-design9
user-interface9
Programming languages (6)
Github contributions (5)
tensorflow/tensorboard
Sep 2021 - Jan 2023
TensorFlow's Visualization Toolkit
Role in this project:
Front-end Developer
Front-end DeveloperContributions:1 release, 585 reviews, 86 commits in 1 year 4 months
Contributions summary:James primarily focused on front-end development within the TensorFlow TensorBoard project. Their contributions involved implementing UI improvements, such as adding overflow-wrap to location data and adjusting the scroll position after pagination in the timeseries view. They also introduced new features related to the linked time functionality in the histogram card and made several styling and structural adjustments to the data table. The work included addressing issues and enhancing the user experience of the TensorBoard interface.
machine-learningtensorflowvisualization
JamesHollyer/tensorboard
Sep 2021 - Dec 2024
TensorFlow's Visualization Toolkit
Contributions:615 pushes, 181 branches in 3 years 3 months
machine-learningtensorflowvisualization
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