oversee a team of data scientists and play a pivotal role in driving data-driven insights and solutions for improving customer interactions and communication strategies

Data Science Team Leader

● Working on number of bi-lingual solutions like Questioning Answering, chatbots and readability metrics. ● Developing a framework for Auto-Generate questions for both Arabic and English subjects.

Senior NLP Data scientist

● Building Questioning/Answering System for Arabic users in different dialects. ● Scrapping daily news stories to match between and to generate insights for press organizations.

Senior NLP Developer

● Developing ML and NLP models to support the educational platform. ● Analyzing millions of job posts to generate skills insights. ● Developing large-scaled search engine for millions of scraped articles, courses, job posts, etc. ● Serving and maintaining the model&#x27;s backend services.

Senior ML Developer

Abu Bakr Soliman

A  set of open source models for the Arabic word embeddings. It scored the most-cited NLP paper in ResearchGate for two years. It produced after months of web scraping, data cleaning, data analysis, Neural Networks developing and models evaluating.

AraVec

Marefa-NER is a Large Arabic Named Entity Recognition (NER) model built on a completely new dataset and targets to extract up to 9 different types of entities

Tebyan | Arabic NER

The first Bi-Lingual (Arabic and English) summarization model for news stories.

Marefa Summarization

The first ranked Arabic voice recognition model in the Robust Speech Challenge @ Hugging Face

Sinai-Voice Arabic Voice Recognition

This is a model for translating English to Arabic. The special about this model that is take into consideration the using of additional Arabic characters like پ or گ.

Marefa Machine Translation

A set of 3 transformers models, each is a customized T5 Model for Arabic and English Task. It could be used as an alternative for google/mt5-large model, as it's much smaller and only targets Arabic and English based tasks.

Arabic T5

The first ranked data projects in Data4Woman Hackathon. We ended up with text mining research presented via a web dashboard about the Egyptian women health concerns by mining about 144K healthy questions in different social media groups.

A cloud-based NLP annotation tool for researchers.

Rafah

An automated social media account which provides users with the best online stores offers.

Personal details

Abu S.

Summary

Technical skills

Work Experience

Education

Personal Projects