Data Scientist L2
Paymob ↗
Building multi-region merchant AI and OCR document verification. Developing a Financial Advisor Copilot.
Egypt · UAE · KSA00 / Data science / Applied AI
Mostafa Gamal.
I’m a Data Scientist at Paymob. I turn language models, retrieval systems, and AI agents into useful products, from merchant support to document verification.
⌖ Cairo, Egypt · Intelligence, with intention.
RESEARCH → REALITY
❯ whoami
Mostafa Gamal
Data Scientist L2 @ Paymob
❯ cat focus.txt
Language models · Retrieval systems
AI agents · Production engineering
❯ echo $APPROACH
Research → Build → Measure → Improve
❯ ▋
Faster merchant onboarding
Chatbot resolution rate
Internal ticket escalation
Markets: Egypt · UAE · KSA
01 / Now
Paymob ↗
Building multi-region merchant AI and OCR document verification. Developing a Financial Advisor Copilot.
Egypt · UAE · KSAExploring retrieval, language models, and agentic applications. Sharing projects, technical writing, and published research.
Explore GitHub →02 / Selected work
001 / Retrieval systems
A modular system for document indexing, vector search, and answers grounded in relevant context.
FIELD NOTES / PRODUCTION AI
Keep itGENERATIVE AI / MEDIUM
Writing / Production AI
Why simple approaches can make stronger production systems.
Read article ↗003 / AI agents / education
An AI study assistant that creates personal preparation plans and gives writing feedback through a chat interface.
03 / Profile
I’m a Data Scientist based in Cairo, working at the intersection of language models, machine learning, and the engineering that makes them useful.
From open-source contributions to systems serving merchants across Egypt, UAE, and KSA, I like taking ideas all the way to impact.
Download résumé ↓The path so far
Multi-region merchant AI, OCR verification, and a Financial Advisor Copilot in development.
Production chatbots, internal RAG support, and automated KPI reporting that saved five hours a week.
Embedding and LLM evaluation, prompts, AI agents, and deployment workflows.
RAG, PDF mining, fine-tuning, and Arabic datasets.
Contributions to Ivy and interoperability across ML frameworks.
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