Houssam Fazaz
@houssamfazaz
I build trustworthy AI systems from model development to production deployment.
What I'm looking for
At UMR LEMAR, I built and deployed a reliability-aware Sargassum classification service that reached 94.2% accuracy across ~2,300 images, addressed domain shift, and routed uncertain field predictions to expert review.
I've also developed production REST APIs for Wecoopt and Maroko Biz IT, plus end-to-end projects in supply-chain forecasting, multilingual RAG analytics, and customer lifetime value intelligence. I work across computer vision, tabular ML, GenAI, MLOps, and stakeholder-facing dashboards in Arabic, French, and English.
Experience
Work history, roles, and key accomplishments
AI Engineer / Data Scientist Intern
UMR LEMAR, Environmental Sciences Lab
Jan 2026 - Jul 2026 (6 months)
Built a reliability-aware lab-to-field classification framework for Sargassum morphotypes on ~2,300 images, achieving 94.2% overall accuracy and 0.939 macro F1. Diagnosed and mitigated domain shift via conservative transfer learning, and deployed the classifier as a live FastAPI inference service on Hugging Face Spaces with confidence reporting and a safety gate for uncertain cases.
Education
Degrees, certifications, and relevant coursework
Cadi Ayyad University
Master of Science, Artificial Intelligence
2024 -
Pursuing a Master of Science in Artificial Intelligence at Cadi Ayyad University, Marrakesh.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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