Osama Hanna is a Research Scientist in GenAI at Meta, specializing in multi-modal foundational audio large language models, with eight years of research and engineering experience bridging academia and industry. He earned a PhD in Electrical and Computer Engineering from UCLA with a perfect 4.0 GPA and has a strong background in teaching and research from positions at UCLA, Aalborg University, Nile University, and a prior FAIR internship at Meta. Equally comfortable as a backend engineer and a researcher, he focuses on turning theoretical signal-processing and ML advances into scalable model and system implementations. Based in San Francisco, he blends deep academic rigor with practical product-minded engineering, often working at the intersection of audio, multimodal learning, and large-model infrastructure. An uncommon strength is his track record of both instructing advanced courses (graph theory, linear programming) and shipping research into production environments.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BSc), Electrical and Electronics Engineering, Distinction with honor degree., Bachelor of Science (BSc), Electrical and Electronics Engineering, Distinction with honor degree. at Cairo University
Doctor of Philosophy - PhD, Electrical and Computer Engineering, 4.0/4.0, Doctor of Philosophy - PhD, Electrical and Computer Engineering, 4.0/4.0 at University of California, Los Angeles
Contributions:2 reviews, 41 PRs, 78 pushes in 3 months
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