Chris Adams
Information Technology Specialist
Washington, District of Columbia, United States
Summary
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RockstarChris Adams is an Information Technology Specialist with 20 years of experience building scalable, user-centered web and preservation systems for large institutions, currently leading engineering for the Library of Congress's World Digital Library. He blends deep backend expertise in Python/Django, search (Solr/Tesseract), and cloud migrations with front-end polish—contributing to well-known open-source projects like django-haystack, requests, Celery and OpenSeadragon. Chris has a strong track record of translating user needs into faster, more reliable operations and deployable open-source tools, from IIIF-supporting image services to the first successful electronic deposit system for the US Copyright Office. Pragmatic about performance and maintainability, he routinely implements targeted optimizations (DB query tuning, caching, OCR search) while improving developer workflows and community participation. An unimposing but influential contributor, he often focuses on the less-glamorous technical work—logging, compatibility, and tooling—that makes large systems dependable.
20 years of coding experience
11 years of employment as a software developer
Stackoverflow
4,993reputation
531kreached
49answers
0questions
fonts
top-5%
urllib
top-5%
django-models
top-5%
python
top-5%
django
top-5%
javascript
top-5%
Github Skills (61)
api-rest10
cms10
javascript10
viewer10
python10
back-end-development10
api-design10
restful-api10
django10
css10
image-viewer10
http10
git-repository10
celery10
solr10
Programming languages (29)
Github contributions (5)
django-haystack/pysolr
Aug 2011 - Apr 2022
Pysolr — Python Solr client
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 releases, 36 reviews, 272 commits in 10 years 9 months
Contributions summary:Chris contributed to the Python Solr client by adding features for rich content extraction using the Solr ExtractingRequestHandler. They improved logging by avoiding string interpolation, providing full headers to logging handlers and logging connection failures. The user also fixed field boosting and updated the code base, including support for Python 2.6 compatibility and added support for cursorMark pagination.
pythonsolrsolr-clientsolr-searchpysolr
django-haystack/django-haystack
Jul 2010 - Jul 2022
Modular search for Django
Role in this project:Back-end Developer
Back-end DeveloperContributions:13 releases, 64 reviews, 474 commits in 12 years 2 months
Contributions summary:Chris primarily contributed to the development and improvement of the Django Haystack search library. Their work involved fixing bugs, enhancing existing features, and adding new functionality to the library. They focused on improving the way facets are handled, updating the Solr backend, and improving logging.
pythondjangomodularcreative-commonssearch
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