Search Engine Architect, Maintainer Of YaCy.net And Searchlab.eu at Radeberger Gruppe KG
Frankfurt, Hesse, Germany
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Summary
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Rockstar
🎓
Top School
Michael Christen is a search engine architect and founder with 16+ years building distributed, production-grade search systems and personal assistant AI from Frankfurt, Germany. He maintains YaCy.net and searchlab.eu and created peer-to-peer social search platforms like loklak.org while leading SUSI.AI as a personal assistant project, blending IR expertise with embedded hardware and mobile clients. His work spans Solr/Elasticsearch deployments, P2P back-ends, Android apps, and GPIO-enabled AI appliances, showing a rare full-stack-to-hardware breadth. A frequent open-source mentor and contributor (notably to loklak and SUSI projects), he also provides search consultancy for enterprise and public institutions, turning complex indexing needs into scalable, privacy-aware solutions.
16 years of coding experience
1 year of employment as a software developer
Vordiplom Informatik, Informatik, Vordiplom Informatik, Informatik at Technische Universität Kaiserslautern
Diplom-Informatiker, Informatik, Diplom-Informatiker, Informatik at Universität des Saarlandes
Distributed Open Source twitter and social media message search server that anonymously collects, shares, dumps and indexes data http://api.loklak.org
Role in this project:
Back-end Developer
Contributions:1254 commits, 103 PRs, 798 pushes in 5 years 6 months
Contributions summary:The commits indicate the user was primarily involved in developing backend functionalities for the loklak_server project. The contributions include implementing features related to peer-to-peer network structure, such as the hello API for information exchange between peers. They also made enhancements to existing functionalities. Additionally, the user was involved in updating the code base to reflect changes in external libraries and dependencies.
Contributions:2 releases, 99 commits, 37 PRs in 1 year 9 months
Contributions summary:Michael primarily contributed to the SUSI AI hardware project by implementing features and addressing various system aspects. They added scripts for starting the application, hints for auto-run appliance setup, and debugging aids. Furthermore, the user integrated GPIO commands for indicating SUSI's computational state and made changes to the configuration and installation scripts, demonstrating involvement in hardware interaction and deployment procedures.
hardware
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