Obeida Eljundi is a data scientist and computer engineer with 10 years of experience who blends hands-on Android development and academia with applied machine learning for industrial problems. He holds a near-perfect M.S. in Computer Engineering from AUB and transitioned from research on Arabic sentiment analysis to building ML-driven fluid modeling solutions at SLB. A prolific mobile developer earlier in his career, he shipped multiple native Android apps (from school systems to educational games and carpooling) and retains strong backend and mapping API experience. Comfortable across programming, networking, databases, security, and OS, he quickly self-learns new technologies and consistently bridges research and production. Based in Abu Dhabi, he brings both rigorous academic training and practical product focus to AI/ML projects, with a particular specialty in NLP for Arabic.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (BE), Computer Engineering, GPA: 3.77, Bachelor of Engineering (BE), Computer Engineering, GPA: 3.77 at Beirut Arab University
Abu Dhabi University
Master's degree, Computer Engineering, GPA: 3.99, Master's degree, Computer Engineering, GPA: 3.99 at American University of Beirut
Generate Arabic captions for images using Deep Learning
Contributions:10 commits, 7 pushes in 1 year 3 months
deep-learningarabiccomputer-visioncaptions
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