Paul Dixon
Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolPaul Dixon is a seasoned technical editor and documentation leader with 15 years of experience shaping clear, consistent content for complex software products across finance, enterprise, and hardware domains. He has led and mentored documentation teams, created corporate style guides and single-source DITA workflows, and improved localization and SEO practices at companies like IBM, EMC, VMware, and Pegasystems. A hands-on consultant, Paul builds help systems, authors editorial standards, and runs workshops to raise writing quality and usability across global teams. He also curates technical resources—contributing as a content curator to a speech and NLP resources repository—illustrating a continuing curiosity about emerging technologies. Based in Massachusetts, he combines deep editorial craft with practical tooling knowledge (MadCap Flare, Oxygen, XML/DITA, JIRA/Confluence) to turn complex product details into usable customer-facing documentation.
15 years of coding experience
2 years of employment as a software developer
B.S. & B.A., B.S. & B.A. at Syracuse University
Github Skills (8)
content-management-system10
content-management10
natural-language-processing10
documentation10
speech-recognition8
text-to-speech6
deep-learning5
machine-translation5
Programming languages (3)
Github contributions (5)
edobashira/speech-language-processing
Jul 2014 - Aug 2015
A curated list of speech and natural language processing resources
Role in this project:
Technical Writer & Content Curator
Technical Writer & Content CuratorContributions:51 commits, 1 PR, 1 push in 1 year
Contributions summary:Paul primarily contributed to curating and expanding the repository's content, which is a list of resources related to speech and natural language processing. Their commits focused on adding links to various tools, libraries, books, and blogs, organized by category. They also refined the README to clarify the project's structure and improve the presentation of listed resources.
natural-language-processingspeech
opendcd/opendcd
Jan 2014 - Dec 2014
Open Source WFST-based Decoder Toolkit
Contributions:66 commits in 10 months
linuxdecoderwfst
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