Mohamed Salem is a PhD student and graduate research assistant in Computer Science at the University of Pittsburgh with 11 years of industry and research experience focused on Natural Language Processing. He has applied deep learning to speech and language problems across roles at Microsoft, TikTok, Zillow, and Agolo, including work on speech locales, machine translation, and hallucination detection for LLMs. Comfortable shipping production code in Java and TypeScript, he also contributes to open-source NLP projects (including Arabic text classification work stemming from his UBC research). His internships at leading labs and a recent Research Intern role on Microsoft’s Responsible and Open AI Research team reflect a blend of applied research and engineering rigor. Trained in communications and computer engineering (Cairo University) and now pursuing a PhD, he brings domain expertise in Arabic NLP and a track record of moving models from research prototypes to deployed systems.
11 years of coding experience
5 years of employment as a software developer
Master's Degree, Computer Electronics and communication, Master's Degree, Computer Electronics and communication at Cairo University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Pittsburgh
Aurora is a web framework, that can create and define a usable 'custom elements', that compatible with other frameworks, using Typescript, Demo: https://ibyar.github.io/aurora-demo API Reference: https://ibyar.github.io/aurora-docs
Contributions:22 releases, 1961 commits, 61 PRs in 2 years 5 months
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