Matthew Batchelder is an experienced engineering leader and applied AI practitioner with 14+ years building scalable web platforms, e‑commerce systems, and high-performing distributed teams. Currently an AI Team Lead at Automattic, he blends strategic leadership with hands-on engineering—having led multi-brand organizations, shipped an AI-powered website builder, and driven enterprise AI adoption to measurably boost velocity and documentation. He has deep roots in PHP/JS ecosystems and WordPress, growing The Events Calendar business from $2M to $10M and contributing backend fixes to its popular open-source plugin. Matthew is equally comfortable shaping product strategy and diving into code, and he pairs that with a creative side—illustrating book covers and release mascots—reflecting a pragmatic, design-minded approach to engineering.
14 years of coding experience
25 years of employment as a software developer
Bachelor of Science - BS Applied Computer Science, Bachelor of Science - BS Applied Computer Science at Plymouth State University
A MediaWiki skin using Bootstrap 4 & FontAwesome 4
Role in this project:
Front-end Developer
Contributions:2 releases, 88 commits, 2 PRs in 8 years 4 months
Contributions summary:Matthew primarily focused on enhancing the user interface of the MediaWiki skin, which uses Bootstrap 4 and FontAwesome 4, by compressing JavaScript files, altering the table of contents, and styling captioned images. Further improvements included adding icons to the navigation bar, integrating hover intent functionality, and addressing styling issues. The user also made improvements to the theme's overall appearance and responsiveness.
Contributions:26 releases, 199 reviews, 2619 commits in 7 years 10 months
Contributions summary:Matthew's commits focused on enhancing the core functionalities of the Events Calendar WordPress plugin, particularly concerning its aggregator features. The user addressed issues related to date tooltips, data fetching, and the management of event origins, indicating a focus on improving data accuracy and backend logic. Moreover, the user implemented improvements to the user experience of the system, resolving issues with the event settings by using new features.
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Matthew Batchelder - Applied AI Engineer at Automattic