Zaid Alyafeai
Postdoctoral Fellow at KAUST (King Abdullah University of Science and Technology)
Dhahran, Eastern Province, Saudi Arabia
Summary
🤩
Rockstar🎓
Top SchoolZaid Alyafeai is a research-focused software engineer and postdoctoral fellow with a decade of experience building ML tools and datasets, currently based at KAUST after completing a PhD at KFUPM. He co-founded arbml and helped launch fihm.ai to advance open-source Arabic NLP and AI content, and has contributed significant Arabic datasets to Hugging Face, including a 1.5 billion-word corpus. His hands-on work spans front-end TensorFlow.js demos (pix2pix, face segmentation, fast style transfer) and dataset engineering, demonstrating fluency across prototype UIs and large-scale data integration. Zaid blends academic rigor with product-minded engineering—an unusual mix evident from both his Stability AI research stint and practical web ML projects.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy, Computer Science, Doctor of Philosophy, Computer Science at King Fahd University of Petroleum & Minerals - KFUPM
Github Skills (20)
javascript10
python10
machine-learning10
datasets10
html10
nlp10
data-engineering9
pandas9
user-interface9
ui-design9
interface-design9
text-processing8
arabic8
css7
tensorflowjs7
Programming languages (10)
Github contributions (5)
zaidalyafeai/ml-projects
May 2018 - May 2020
Implementation of web friendly ML models using TensorFlow.js. pix2pix, face segmentation, fast style transfer and many more ...
Role in this project:
Front-end & UI Designer
Front-end & UI DesignerContributions:1324 commits, 3 PRs, 1207 pushes in 1 year 11 months
Contributions summary:Zaid primarily focused on developing the front-end interface for the "ml-projects" repository, a web-friendly machine learning project using TensorFlow.js. Their contributions involved creating the `index.html` file and making multiple updates to its content. These changes indicate work on adding components such as an input slider and a table for predictions, while focusing on the visual presentation.
ml-modelstensorflowjsstyle-transferdeep-learningjavascript
huggingface/datasets
Dec 2020 - Oct 2021
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Role in this project:ML Engineer
ML EngineerContributions:8 reviews, 10 commits, 11 PRs in 10 months
Contributions summary:Zaid's contributions primarily focused on integrating new datasets into the Hugging Face datasets repository. This included adding datasets for Arabic poetry, hotel reviews, book reviews, Jordanian tweets, and question-answering, and the 1.5 billion words Arabic corpus. The user added specific dataset files and modified existing files, demonstrating their expertise in dataset integration and data processing. The user also added support for extracting rar files.
ml-modelstensorflownatural-language-processingmanipulationdata-science
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