About Me
AI and Data Science professional with a degree from Princess Sumaya University for Technology. Currently working as an AI Specialist Assistant at Royal Scientific Society and contributing as researcher at PSUT. Experienc…
AI and Data Science professional with a degree from Princess Sumaya University for Technology. Currently working as an AI Specialist Assistant at Royal Scientific Society and contributing as researcher at PSUT. Experienced in developing RAG solutions, chatbots, and recommendation systems, with expertise in NLP, Graph ML, machine learning, and deep learning. Co-author of research published in the ArabicNLP 2025 Shared Tasks proceedings.
Experience
AI Specialist Assistant
<p>Developed Retrieval-Augmented Generation (RAG) systems for HR documents and laboratory manuals using LangGraph, designing hybrid retrieval pipelines that combine semantic vector search with Elasticsearch to enhance document retrieval and response accuracy.</p><p> Deployed it as a Dockerized FastAPI service.</p><p> Developed a POC laboratory knowledge graph with TBox/ABox ontology modeling in RDFLib and GraphDB, leveraging Graph Machine Learning for intelligent laboratory test-to-tester recommendations.</p><p> Developed a POC multi-agent HR recruitment platform with MCP-powered skill discovery, human-in-the-loop approval, VLM-based CV parsing, NER, semantic candidate ranking, and configurable weighted evaluation.</p><p> Developed an AI-powered SDS (Safety Data Sheet) parser using VLM for structured information extraction and deployed it as a Dockerized FastAPI service.</p>
Researcher – Data Science & AI (Part-time)
<p>Developed Knowledge Graph and NLP systems for semantic information extraction, entity linking, and relationship discovery.</p><p> Applied Graph Machine Learning techniques for node and link prediction using Node2Vec, GAT, and AWS GraphStorm.</p><p> Built RAG-based chatbots with hybrid retrieval using Weaviate and SPARQL, and agentic workflows using LangGraph for dynamic query generation.</p><p> Developed an agentic pipeline to transform unstructured text documents into Knowledge Graphs.</p>
Data Science Internship
<p>Worked on Django and Django REST Framework projects, developing robust web applications and APIs.</p><p> Enhanced my Python programming skills, essential for all aspects of my work.</p><p> Learned web scraping techniques and data engineering for processing and managing scraped data.</p><p> Gained proficiency in using Postman for API testing and Git/GitHub for version control and collaboration.</p>