Elyas Yahia
Lead AI Architect at Gutenberg Technology
Bordeaux, Nouvelle-Aquitaine, France
Summary
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Senior🎓
Top SchoolElyas Yahia is a Lead AI Architect based in Bordeaux with 14 years of experience designing scalable, secure, and resilient systems that bridge research and product. He led the architecture and delivery of an award-winning AI-powered course builder that cut content creation time by 90% and introduced learning-science personalization across 20+ AI use cases. A hands-on technical leader, Elyas has migrated monoliths to microservices for 8M+ users, standardized company-wide API and event-driven patterns, and improved CI/CD and observability across dozens of AWS clusters. He combines academic rigor—a PhD in Computer Science—with startup grit from founding a social-management SaaS and contributing practical NLP improvements to open-source sentiment tooling. Known for mentoring engineering teams and embedding security and automation into product delivery, he excels at turning research into production impact.
14 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science & Software Engineering, Doctor of Philosophy - PhD Computer Science & Software Engineering at Université de Bordeaux
English, French, Arabic, Spanish
Stackoverflow
772reputation
78kreached
13answers
6questions
Github Skills (16)
sentiment-analysis10
javascript10
nodejs10
natural-language-processing9
nlp9
api8
apidoc8
json6
jsonpath6
webgl6
google-cloud-storage6
docker6
docker-compose6
google-app-engine6
rest6
Programming languages (4)
Github contributions (5)
thisandagain/sentiment
Dec 2017 - Apr 2018
AFINN-based sentiment analysis for Node.js.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits, 1 PR, 30 comments in 3 months
Contributions summary:Elyas implemented multi-language support for the sentiment analysis library, enhancing its capabilities to process text in various languages. They introduced language-specific negation strategies, enabling more accurate sentiment scoring. Further contributions included refactoring code by moving negators to a separate file and updating the method signature to accept a configuration object, improving code organization and maintainability. The user also updated the test suite to support the new features.
nlpnode-jsafinnmachine-learningsentiment
KomodoOpenLab/TeclaAccess
Mar 2012 - Aug 2012
Contributions:160 commits in 4 months
teclamobilityelectronichardwareswitch
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