Hashem Elezabi
Machine Learning Engineer at Apple
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolHashem Elezabi is a machine learning engineer with nine years of experience focused on large language models, vision-language models, and real-world human–AI interaction tools. He combines academic research at Stanford (SAIL, DAWN) with industry impact at Apple, where he currently works on language expansion for foundation models in Apple Intelligence. His work spans ML systems, RLHF, optimization, and efficient model execution—ranging from training GNNs to predict TPU runtimes to building RL-fine-tuned coding models and CUDA kernel generation tools. He has practical experience across the stack, from audio/speech models and React-native apps to low-level performance engineering at NVIDIA and Apple chips. Notably, he has translated research prototypes into usable tooling and evaluation frameworks, such as a GPT-4V-based semantic evaluator for 3D scene layouts, demonstrating a knack for marrying cutting-edge models with robust evaluation and engineering.
9 years of coding experience
6 years of employment as a software developer
M.S. Computer Science, M.S. Computer Science at Stanford University
Arabic, English, German
Stackoverflow
4,327reputation
1.0mreached
0answers
2questions
Github Skills (18)
suppression10
noise9
earthquake8
similarity7
pipeline6
command-prompt6
windows6
time-series6
makefile6
python6
similarity-search6
gnu-make6
postgresql6
angular5
ethereum5
Programming languages (4)
Github contributions (5)
hashemelezabi/driving-interactions
May 2018 - Sep 2024
Contributions:1 push in 6 years 5 months
hashemelezabi/phys14n-project
Jun 2018 - Jun 2019
Contributions:14 commits, 13 pushes, 1 branch in 1 year
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