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Leen A.

Leen A.

AI Automation Engineer · Junior

Jordan · Rate on request

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

Company
Leading Point Software
Jan 2026 – Mar 2026
Role title
Machine Learning Engineer Trainee

AI Expertise

NLP & Prompt Engineering AI & Machine Learning Engineers

Skills

Python Hugging Face ETL Prompt Engineering LangChain RAG LlamaIndex Docker

Employment Type

Part-time

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
Company
Huda System – Hakeem Program
Feb 2025 – May 2025
Role title
Data Management Intern

AI Expertise

Data Science & Analytics AI & Machine Learning Engineers

Skills

Python SQL Power BI Scikit-Learn Pandas NumPy ETL CI/CD

Employment Type

Part-time

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

School
Al-Balqa' Applied University (BAU)
Oct 2021 – Jul 2025
Degree / Program
Bachelor of Science

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.

Current location

Jordan

Time Zone

Amman UTC+3

Primary Work Language

English

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