Search Engine Architect, Maintainer Of YaCy.net And Searchlab.eu at SUSI.AI
Frankfurt, Hesse, Germany
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Summary
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Rockstar
🎓
Top School
Michael Christen is a search engine architect and maintainer of YaCy.net and Searchlab.eu, combining 15 years of experience building decentralised, peer-to-peer search infrastructure and running up to 30 custom search portals per day. He founded SUSI.AI and contributes widely to FOSS projects (loklak, SUSI Android/Linux), with hands-on work spanning backend P2P networks, Android clients and hardware integration (GPIO for SUSI appliances). As Solutions Architect at Radeberger and a former Google Summer of Code mentor, he bridges consulting, research and production deployments for enterprise and community projects. Based in Frankfurt with academic roots at TU Kaiserslautern and Saarland, he focuses on pragmatic, privacy-preserving search and personal assistant technologies that scale.
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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