Scott Brown
Software Engineering Team Lead at Etogy
United States
Summary
👤
Senior🎓
Top SchoolScott Brown is a software engineering team lead with 12 years of experience building high-availability services, databases, and APIs while leading cross-functional teams at Etogy. He blends practical software architecture with applied AI/ML, having designed and deployed generative and predictive models for federal integrations and risk systems. His background in applied statistics and academic work includes novel methods to quantify uncertainty in random forest predictions and building large-scale course-demand forecasting systems that outperformed prior approaches by 300%. Scott is a pragmatic problem-solver who moves projects from research to production—automating pipelines, shipping R packages and Python tooling, and improving operational efficiency for Fortune 500 clients. An active contributor to the long-running WikiTeam project, he has strengthened web-scraping and MediaWiki detection tooling used to archive hundreds of thousands of wikis. He’s based in the United States and known for pairing data-driven rigor with a get-things-done mindset.
12 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Statistics: Applied Statistics & Analytics, Bachelor of Science - BS, Statistics: Applied Statistics & Analytics at Brigham Young University
Spanish, English
Github Skills (7)
mediawiki10
perl10
webscraping10
error-handling8
apidoc7
api7
python5
Programming languages (1)
Github contributions (2)
WikiTeam/wikiteam
Jan 2014 - Apr 2014
Tools for downloading and preserving wikis. We archive wikis, from Wikipedia to tiniest wikis. As of 2023, WikiTeam has preserved more than 350,000 wikis.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 commits in 3 months
Contributions summary:Scott primarily contributed to a Perl script designed to check the availability and identify MediaWiki installations on a list of URLs. Their work focused on improving error handling, adding progress reporting, and enhancing the script's ability to detect MediaWiki instances. Subsequent commits involved further refinements, including the addition of a user-agent for more effective scraping and the implementation of more robust methods for identifying MediaWiki API endpoints. The user demonstrated a strong understanding of web scraping techniques and Perl scripting for automating tasks related to wiki archiving.
wikiteamdownloadingpythonexportdigital-preservation
fsrrt/wikiteam
Jan 2014 - Apr 2014
Contributions:12 commits in 3 months
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