Mootez Saad is a Ph.D. student and Graduate Research Assistant at Dalhousie University specializing in AI for Software Engineering, with eight years of experience bridging research and practical software development. He focuses on computationally efficient deep learning methods for SE tasks and has produced explainable NLP benchmarks—showing ~10.5% F1 improvements—during a MITACS-backed internship. His full-stack background includes building a payments-enabled ML VM marketplace and meaningful open-source UI contributions to the popular JabRef project, improving dark-theme accessibility and keyboard/drag-and-drop usability. Mootez combines hands-on web and backend engineering (NextJS, NestJS, PostgreSQL, AWS) with security and PL investigation experience from prior internships. He brings a researcher’s rigor to developer-facing problems, often emphasizing interpretability and user experience in ML-driven tools.
8 years of coding experience
Engineer's degree, Computer Software Engineering, 3.54 cGPA, Engineer's degree, Computer Software Engineering, 3.54 cGPA at SMU - South Mediterranean University (MSB- MedTech-LCI)
Graphical Java application for managing BibTeX and biblatex (.bib) databases
Role in this project:
Full-stack Developer
Contributions:8 commits, 7 PRs, 21 comments in 26 days
Contributions summary:Mootez primarily focused on enhancing the user interface and improving the overall user experience of the JabRef application. They implemented UI-related fixes such as correcting dialog icons and adjusting colors in the dark theme. Additionally, the user restored missing keyboard shortcuts and addressed drag-and-drop functionality issues on the application's empty database. The commits demonstrate a focus on improving the application's usability and accessibility.
Contributions:36 commits, 3 PRs, 19 pushes in 2 months
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