AI engineer, researcher, and founder — based in Cairo.
Abdalla Ellaithy is an AI engineer and researcher based in Cairo, and the Founder & CEO of Edrak for AI, a technology company building artificial-intelligence solutions, software, and automation for business.
He graduated from Nile University in 2025 with a B.Sc. in Information Technology and Computer Science, specialising in Artificial Intelligence. His research on fine-tuning language models for context-aware academic support was published by IEEE at the 16th Student Research Conference on Applied Computing, where he is first author.
His work centres on applied AI systems — retrieval-augmented generation, agentic automation, and Arabic natural-language processing — and on the distance between a model that performs well in evaluation and a system that survives contact with a real business. Through Tips Hindawi, the training and internship department of Edrak for AI, he works with students and graduates moving into practical AI engineering.
Names
One person, three names in the public record.
These names all refer to the same person. They are listed together so that a reader, a search engine, or a citation index can match the record with confidence.
Primary — English
Abdalla Ellaithy
Used across this site, GitHub, Kaggle, and LinkedIn.
Primary — Arabic
عبدالله الليثي
Used on the Arabic edition of this site.
Academic variation
Abdalla Maged Gamal
The author name under which the IEEE publication is indexed.
All three are registered on one ORCID record — an independent identifier that ties them together without relying on this site. 0009-0007-4943-9910 →
Timeline
Dated, sourced, and verifiable.
Experience
2026
Founder & CEO, Edrak for AI
A technology and digital-transformation company in Cairo: AI solutions, web and mobile software, automation, and ERP.
2025
Tips Hindawi established
Now the training and internship department of Edrak for AI, running mentor-led programmes in applied AI, agentic systems, and security.
2024–25
Mathematics for AI training, via Outlier
Contributed mathematics work used to train AI models, through Outlier — Scale AI's contributor platform. Remote, September 2024 – July 2025.
2024–25
Generative AI Intern, Digital Egypt Pioneers Initiative
An eight-month programme in machine learning, NLP and large language models, under Egypt’s Ministry of Communications and Information Technology. Built SciBot, a retrieval-augmented assistant that summarises academic papers and answers questions about them.
2024
Junior Teaching Assistant, Nile University
Taught the data-mining labs: helping students implement machine-learning algorithms, debug their code, and read model performance honestly.
2023
Microsoft Stack Intern, TurnDigital
Built an employee leave-request system in Power Apps and Power Automate, and worked in Power BI on the reporting side.
Education, training and recognition
2025–26
A2SV — algorithms and competitive programming
Generation 6 at A2SV (Africa to Silicon Valley), a US nonprofit that teaches software engineering to university students across Africa. Completed the required first year: data structures, algorithms, dynamic programming and competitive programming. January 2025 – February 2026. a2sv.org →
2025
B.Sc., Nile University
Bachelor of Science in Information Technology and Computer Science, specialisation: Artificial Intelligence.
2025
Third place, Graduation Project Competition
Nile University, July 2025.
2025
First-authored IEEE publication
Fine-tuning language models for context-aware academic support, at the 16th Student Research Conference on Applied Computing. Read the record →
2024
Second place, Undergraduate Research Forum
Nile University, August 2024.
2024
AI & Machine Learning trainee, Sprints
Two months on Python for machine learning, data analysis and visualisation, and supervised and unsupervised methods — ending in a complete pipeline on the UCI heart-disease dataset.
2022
Cloud Developer nanodegree, Ministry of Communications and Information Technology
Twelve weeks on cloud fundamentals and Amazon Web Services: compute, storage, networking, security, and deploying for availability and scale.
2021
Began B.Sc. at Nile University
Information Technology and Computer Science, specialising in Artificial Intelligence. Study dates confirmed on the ORCID record.
Focus
What I actually work on.
Applied AI systems
Retrieval-augmented generation, agentic automation, and evaluation that measures something real rather than something convenient.
Arabic language technology
Datasets, classification, and the unglamorous work of making Arabic a first-class input rather than an afterthought.
Engineering practice
Architecture decisions, deployment, and the gap between a demo and a system a business can depend on.