Elise Hotchkiss
Search Engineer at AbbVie
Chicago, Illinois, United States
Summary
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Rockstar🎓
Top SchoolElise Hotchkiss is a Search Engineer with 15 years of hands-on experience applying computer science and linguistics to real-world information problems, currently based in Chicago. She has led successful Semantic RAG proof-of-concept work that doubled accuracy over a baseline Vector RAG and shepherded that effort into production while acting as the search subject-matter expert. Comfortable across Python, NLP, vector and graph databases, and backend testing (notably contributing thorough test coverage to a mongoose pagination library), she bridges technical depth with clear communication for both engineers and business stakeholders. Elise is driven by accessibility and interdisciplinary thinking—she brings sociolinguistics and disability-justice perspectives to search and taxonomy design, and has a track record of mentoring peers and closing team skill gaps.
15 years of coding experience
1 year of employment as a software developer
Associate of Arts - AA, Associate of Arts - AA at Southwestern Illinois CollegeBachelor of Science - BS, Computer Science and Linguistics, Bachelor of Science - BS, Computer Science and Linguistics at University of Illinois Chicago
English, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
unit-testing10
mongoose10
nodejs10
javascript10
pagination10
testing10
mongodb-database9
mongodb9
Programming languages (3)
Github contributions (5)
edwardhotchkiss/mongoose-paginate
Mar 2012 - Jan 2016
Mongoose.js (Node.js & MongoDB) Document Query Pagination
Role in this project:
Back-end Developer
Back-end DeveloperContributions:103 commits, 15 PRs, 41 pushes in 3 years 10 months
Contributions summary:Elise primarily contributed to testing and refining the `mongoose-paginate` library. Their commits focused on adding and expanding test cases to ensure the pagination functionality worked correctly. The user incorporated test assertions for different pagination scenarios, including criteria-based filtering, various page/limit configurations, sorting, and the use of the `populate` option. They also addressed code style and whitespace issues within the codebase.
querymongoose-jsmongoose-pluginpaginationnode-js
Erls-Corporation/twitter-search
Sep 2011 - Jan 2012
Contributions:231 commits in 4 months
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