Nicholas Hubbard
Software Engineer at Walmart Global Tech
Bentonville, Arkansas, United States
Summary
👤
Senior🎓
Top SchoolNicholas Hubbard is a software engineer with 11 years of hands-on experience, currently building products at Walmart Global Tech out of Bentonville, Arkansas. He combines full-stack development skills with a white-hat hacker mindset, contributing to notable open-source projects like MagicMirror² where he improved frontend/back-end integrations, install scripts, and UX. His internship work shows strong end-to-end delivery: from a C# ASP.NET Core, AWS- and Terraform-backed training platform at Rocket Mortgage to migrating Confluence docs into a tested MkDocs/Terraform deployment at Quicken Loans. Comfortable across languages and the cloud, he has practical experience with CI/CD, infrastructure-as-code, and test-driven development. Colleagues would describe him as a pragmatic builder who bridges polished user interfaces with robust backend automation.
11 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at University of Detroit Jesuit High School and AcademyBachelor's degree Software Engineering, Bachelor's degree Software Engineering at Gannon University
Stackoverflow
110reputation
10kreached
3answers
7questions
Github Skills (21)
javascript10
scripting10
php10
script10
sh10
shell10
css9
html9
raspberry-pi8
mirror8
git7
domo7
domoticz7
smart-device7
azure6
Programming languages (19)
Github contributions (5)
MagicMirrorOrg/MagicMirror
Jan 2016 - Oct 2017
MagicMirror² is an open source modular smart mirror platform. With a growing list of installable modules, the MagicMirror² allows you to convert your hallway or bathroom mirror into your personal assistant.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:89 commits, 45 PRs, 177 comments in 1 year 9 months
Contributions summary:Nicholas primarily contributed to the frontend and backend logic of the MagicMirror project. They created PHP controllers for fetching calendar data and obtaining the Git hash, then updated JavaScript files to utilize these controllers. Furthermore, the user added and modified shell scripts to install and configure the MagicMirror application. Their work also included adjustments to HTML and CSS files for improved user experience and code quality.
raspberry-piassistantjavascriptsmart-mirrordomotics
Robocubs/vtk
Mar 2019 - May 2019
Machine learning object detection for humans.
Contributions:1 release, 44 commits, 1 PR in 2 months
deep-learningmachinelearningobject-detectioncomputer-visionmachine-learning
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