Professional Overview
AI Engineer specializing in RAG systems, LLMs, and Arabic NLP. I've built production-ready GenAI applications using Haystack, Qdrant, and LangChain, with hands-on experience in ETL pipelines, fine-tuning LLMs, and multilingual document processing. Passionate about building AI that creates real-world impact.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built end-to-end RAG platform using Haystack 2.0 and Qdrant vector database
- Engineered ETL pipelines for intelligent PDF partitioning+metadata extraction
- Fine-tuned LLMs on private datasets using prompt engineering strategies
- Researched Visual Language Models for multi-modal document analysis
- Deployed AI interfaces using Streamlit for real-time model evaluation
Key Achievements / KPIs
- Delivered production-ready RAG app with Arabic/English multilingual support
- Implemented Cross-Encoder Re-ranker improving retrieval accuracy
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Analyzed large hospital datasets to predict emergency department visits
- Built interactive Power BI dashboards for hospital KPI visualization
- Applied ML models to identify patient trends and support decision-making
- Time Series
Key Achievements / KPIs
- Delivered dashboards used by executives for operational decisions
- Improved prediction accuracy of patient visit trends using deep learning
Education
Field of Study: Data Science
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.