Omar M. Awad
Sr Machine Learning Systems Engineer @Meta
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WORK HISTORY
Sr Machine Learning Systems Engineer @Meta
Toronto, ON, CA
The Meta Training and Inference Acceleration (MTIA) performance team is leading the performance goals of training and serving various production-level Ranking & Recommendation, and GenAI models on Meta’s first in-house custom training accelerator- Leading performance profiling, projection, and optimization of key P0 Ads models including host, device compute and multi-node communication performance optimizations- Leading the TorchRec sharding performance in training key Ads models on Meta’s 2nd gen accelerator across multiple cross-functional teams.
EDUCATION
University of Toronto
Master of Science - MS, Computer Engineering
The German University in Cairo
Bachelor's degree, Electrical and Electronics Engineering
Ruhr University Bochum
Exchange, Electrical and Electronics Engineering
Quantic School of Business and Technology
Master of Business Administration - MBA, Leadership and Management
ABOUT OMAR M. AWAD
As a Sr. ML Researcher, I conduct cutting-edge research on language and vision models, with a focus on alignment, efficiency, and generation. I have led and contributed to several projects on training and fine-tuning large language models (LLMs), retrieval-augmented generation, and multimodal foundation models, using deep learning frameworks like PyTorch and TensorFlow.With a background in both software and hardware, my work has ranged from model architecture design & optimization, inference/training runtime performance, memory optimization, and HW/SW-codesign.I have a strong academic background with a master\'s degree from the University of Toronto. I am proficient in Python/C++/CUDA, ML frameworks, and LLMs. I am passionate about advancing the state-of-the-art in AI and applying it to real-world problems.If interested to know more about me, please check my website: https://omarawad2.github.io/- Let’s set some time: https://calendly.com/omar-mo-awad
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