Ossama Obeid is a Research Associate at NYU Abu Dhabi with 12 years of experience building NLP tools and annotation platforms for Arabic language projects. He has a strong research-and-engineering background developed at CMU-Q and VCU Qatar, where he led web-based annotation tool design, corpus-building initiatives, and experimental studies on Arabic phonetics and diacritization. Comfortable across backend systems and applied research, he’s implemented pragmatic tooling (including a Pushover integration for the popular Python logbook project) and utility scripts that bridge annotation collection and evaluation. Ossama combines hands-on development of production-facing web tools with academic publication experience, and occasionally brings hardware and interactive-art skills from earlier maker work to creative problem solving. Based in the UAE and trained in CS at Carnegie Mellon, he focuses on making Arabic NLP resources more scalable, reusable, and annotation-friendly.
11 years of coding experience
14 years of employment as a software developer
BS, Computer Science, BS, Computer Science at Carnegie Mellon University
Contributions summary:Ossama primarily contributed to the implementation of a Pushover notification service for the `logbook` project. They added the core functionality for sending notifications via Pushover, including handling API interactions and setting up necessary configurations. Subsequent commits involved adjusting the default priority setting and refining the message size limits for the Pushover integration. The user also added documentation and refactored the code to improve its structure.
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