Art Mcgee
Senior Software Engineer at Jaguar Land Rover North America
Portland, Oregon, United States
Summary
👤
Senior🎓
Top SchoolArt Mcgee is a Senior Software Engineer based in Portland, Oregon with 12 years of hands-on experience building embedded, in-car, and cloud-connected applications across startups and enterprise teams. At Jaguar Land Rover North America he developed AWS cloud solutions, CI tools, simulators, QML-based in-car demos and led source-control and cross-Atlantic engineering workflows, mentoring interns and growing incubator projects. His background spans C++, Java, Python and embedded platforms—from electrofishing backpacks and lighting controllers to remote media rendering and vehicle voice-interaction work, including contributions to the Mycroft AI core around wake-word audio processing. Calm and detail-oriented, he thrives in organized, creative teams and is pivoting toward remote and freelance work that blends game development, humanoid robotics and experimental hardware-software integrations.
11 years of coding experience
8 years of employment as a software developer
BS, Software Engineering, BS, Software Engineering at Oregon Institute TechnologyComputer Science, Computer Science at Western Oregon UniversityBS, Computer Software Engineering, 97%, BS, Computer Software Engineering, 97% at Portland Community CollegeBachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at School name:
Stackoverflow
1reputation
0reached
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0questions
Github Skills (7)
python10
natural-language-processing10
audio-processing9
configuration-management9
nlp8
open-source8
ai8
Programming languages (5)
Github contributions (5)
MycroftAI/mycroft-core
Mar 2017 - Jun 2017
Mycroft Core, the Mycroft Artificial Intelligence platform.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:13 commits, 5 PRs, 15 comments in 3 months
Contributions summary:Art primarily focused on modifying the core functionality of the Mycroft AI platform. Their contributions include changes related to wake word recording, which involved modifying audio processing and configuration handling within the `mycroft/client/speech/mic.py` file. They also integrated features for saving wake word samples, and commented on code documentation within the messaging system. The user's work indicates a focus on improving the core voice interaction features.
pythonnatural-language-processingraspberry-piartificialnatural-language
PDXostc/common-app
Mar 2015 - Oct 2015
Contributions:18 commits, 12 PRs, 3 pushes in 6 months
common-components
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