Morad Abdelaziz
Senior Machine Learning Engineer @Meta
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WORK HISTORY
Senior Machine Learning Engineer @Meta
1) Led applied machine learning work focused on real-time inference under tight latency and resource constraints, including model design, optimization, and production deployment.2) Owned the design and delivery of lightweight machine learning models for on-device execution, balancing accuracy, performance, and system constraints.3) Designed and productionized end-to-end training and evaluation pipelines to support iterative development and reliable deployment at scale.4) Designed and implemented performance-critical native components for ML inference, including low-level algorithms and runtime optimizations.5) Built reusable C++ tooling to support benchmarking, validation, and performance analysis of machine learning models across environments.6) Set technical direction for and owned production pipelines enabling large-scale use of LLMs, including evaluation, deployment, and operational reliability.7) Designed and owned benchmarking and safety evaluation pipelines for machine learning models operating at million-user scale.
EDUCATION
Centre Culturel Français au Caire
Diplôme d'études en langue française (DELF B2) et Diplome Universitaire de traduction Francais-Arabe, French Language and Literature
Ain Shams University
Bachelor's degree, Electrical Engineering
Ain Shams University
Master's degree, Electrical Engineering
University of Waterloo
Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering
SKILLS
ABOUT MORAD ABDELAZIZ
I work on machine learning engineering and research at Meta. I was previously a tenure-track assistant professor at the School of Engineering at the University of British Columbia. I received my Ph.D. degree in Electrical and Computer Engineering from the University of Waterloo, Ontario, Canada, in 2014.
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