Mossaab Bagdouri is a Principal Data Scientist based in Sunnyvale with 13+ years applying IR and ML to e-commerce search and query understanding, and over 16 years in related research and industry work. He leads cross-functional efforts at Walmart Global Tech, building multilingual, multi-tenant zero-shot classifiers and multi-task models for query intent, specificity, and ambiguity—work that has produced a pending patent and materially improved search relevance metrics. His background blends academic rigor (PhD in Computer Science, University of Maryland) with hands-on product impact, from seller intelligence tools to demand-supply gap analysis and news/social-media signal studies for banks and universities. Known for stabilizing core query-understanding systems at scale, he also brings consultancy experience across international clients, revealing an ability to translate research into actionable business metrics.
13 years of coding experience
13 years of employment as a software developer
Engineer Computer Science, Engineer Computer Science at Ecole Nationale Supérieure d'Informatique et d'Analyse des Systèmes - ENSIAS
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Maryland
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Colorado Boulder
Contributions:14 pushes, 2 branches in 2 years 8 months
deep-learningmachine-learningbig-datasparkscala
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