Abdulaziz Al-homaid

Doha, Qatar
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Summary

👤
Senior
🎓
Top School
Abdulaziz Al-homaid is a software engineer and machine learning researcher based in Doha with 11 years of experience building production-ready AI and data systems. At Qatar Computing Research Institute he’s led large-model fine-tuning (including long-context Arabic LLM work with NeMo and Llama 3 across multi-GPU setups), developed CI/CD and containerized deployments for FastAPI services, and is a primary developer of the open-source Tasrif framework for wearable data preprocessing. His background bridges applied research and product engineering—publishing results in venues like EMNLP and IEEE TKDE while shipping analytics for healthcare (CGM time-series) and social data (rumor scoring). He mentors junior engineers and interns, and brings practical expertise in end-to-end ML workflows, from hyperparameter search and visualization to automated deployment. An early contributor to humanitarian data tooling, he also has hands-on experience improving education-data access in crises.
code11 years of coding experience
job2 years of employment as a software developer
bookOmar Bin AlKhattab
bookMaster of Science (M.S.), Data Science and Engineering, 3.62 GPA, Master of Science (M.S.), Data Science and Engineering, 3.62 GPA at Hamad bin Khalifa University
bookBachelor of Science (B.S.), Computer Science, 2.89 GPA, Bachelor of Science (B.S.), Computer Science, 2.89 GPA at Carnegie Mellon University in Qatar
languagesEnglish, Arabic
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Github Skills (49)

pytorch10
python10
kats10
data-science10
machine-learning10
fitbit10
tensorflow10
withings10
deep-learning10
wearable-devices10
data-processing10
jax10
transport9
discord9
overpass-api9

Programming languages (6)

TypeScriptShellC++CJupyter NotebookPython

Github contributions (5)

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abalhomaid/RumorDetectionRNN

Nov 2016 - Jun 2017

Contributions:34 commits, 29 pushes, 1 branch in 6 months
qcri/tasrif

Apr 2021 - Oct 2022

Tasrif is a python library for processing of wearable data from fitness trackers and wearable health devices
Contributions:6 reviews, 134 commits, 18 PRs in 1 year 7 months
pythondata-processingwearable-deviceswearablefitbit
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