Bashar Talafha is a research-driven machine learning engineer and data scientist with nine years of experience building production-ready AI systems and academic research in information science. He has applied deep learning and classical ML across NLP and computer vision tasks—from machine translation and NER to aspect-based sentiment analysis and image classification—at organizations including Samsung R&D, Mawdoo3, and as a Graduate Research Assistant at UBC. Comfortable bridging research and engineering, he has built microservice platforms to deploy AI components and led data science workstreams in high-impact, multilingual environments. Currently pursuing a PhD at UBC, he combines rigorous academic methods with practical model deployment experience, and brings a persistent researcher’s mindset to solving real-world data problems.
9 years of coding experience
7 years of employment as a software developer
Yarmouk University Model School (YUMS)
Doctor of Philosophy - PhD, Information Science/Studies, Doctor of Philosophy - PhD, Information Science/Studies at The University of British Columbia
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Jordan University of Science and Technology
Contributions:9 commits, 8 pushes, 1 branch in 2 years 7 months
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