Matt Wells is a search-focused software engineer with 12 years of experience designing and implementing high-performance information-retrieval systems, from query expansion and synonym computation to search-as-you-type and structured JSON search. Based in Albuquerque, he contributes to the open-source Gigablast search engine, where his backend work on the search API, spider/crawler and metadata handling reflects deep expertise in distributed, reliable crawling and indexing. With MS and BS degrees in Mathematics and Computer Science from New Mexico Tech, he combines rigorous analytical training with practical C/C++ systems development. He’s particularly interested in roles that leverage his niche skills in automated spelling correction, chat-bot information extraction from web indexes, and multimedia search, and brings a track record of fixing hard backend bugs and shipping performance-critical features.
12 years of coding experience
Bachelor’s Degree, Mathematics, Bachelor’s Degree, Mathematics at New Mexico Institute of Mining and Technology
Nov 20 2017 -- A distributed open source search engine and spider/crawler written in C/C++ for Linux on Intel/AMD. From gigablast dot com, which has binaries for download. See the README.md file at the very bottom of this page for instructions.
Role in this project:
Back-end Developer
Contributions:1 review, 1791 commits, 24 PRs in 9 years 2 months
Contributions summary:Matt's commits indicate a focus on back-end development, particularly related to the search API and spider functionality. Their work includes updating documentation, fixing bugs in the proxy loop, and implementing new features related to the search API. Additionally, they contributed to the codebase by merging branches and implementing changes related to metadata within the system.
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