• Hi!
    I'm Nour

    AI Engineer specializing in LLMs, RAG, and Arabic NLP 🚀

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    About Me

    Who Am I?

    AI Engineer with 3+ years of hands-on experience designing and deploying LLM-powered NLP systems, with a strong focus on Retrieval-Augmented Generation (RAG) and Arabic Natural Language Processing. I specialize in building end-to-end AI solutions that transform unstructured data into actionable intelligence, using Python, FastAPI, LangChain, FAISS, and OpenAI-compatible models.

    🔹 Key areas: Document-based chatbots, HR policy assistants using RAG pipelines, multilingual embedding models evaluation, Arabic NLP workflows including dialect-aware processing, and automated data extraction using Playwright & Selenium.

    Open to AI Engineer / NLP Engineer / LLM Engineer roles where research-driven ideas meet real-world impact.

    My Specialty

    My Skills

    Specialized in building production-ready AI systems with focus on LLMs, RAG, and Arabic NLP

    Experience

    Work Experience

    AI R&D Specialist Jul 2023 - Present

    Syriatel Mobile Telecom · Full-time

    • Designed and developed AI-driven enterprise solutions aligned with business and ICT strategy objectives
    • Built NLP-based analytics solutions for large-scale telecom data using Python, PySpark, Elasticsearch, and Kibana
    • Evaluated emerging AI technologies using benchmarks and performance metrics
    • Collaborated with cross-functional teams to deploy scalable data analytics and ML pipelines

    AI Engineer (Freelance) Jan 2022 - Present

    Remote · Multiple Clients

    • Delivered end-to-end ML and NLP solutions for classification, text analytics, and data-driven applications
    • Built document-based chatbots and HR policy assistants using RAG pipelines
    • Developed Arabic NLP workflows with dialect-aware processing
    • Automated data extraction and reporting using Playwright & Selenium

    Researcher & Content Writer Jan 2023 - Present

    AI in Arabic · Remote

    • Researched and authored high-quality Arabic technical articles covering AI, ML, Deep Learning, and NLP
    • Simplified complex AI concepts to support Arabic-speaking developers and learners
    • Contributed to increasing awareness of Arabic NLP challenges and applications

    Deep Learning Specialist Nov 2022 - Jul 2023

    GDSC Damanhour University

    Led deep learning initiatives and workshops. Supported learners in understanding neural networks, transfer learning, and applied ML concepts.

    ML Engineer Jul 2020 - Aug 2021

    OMNIYA Company

    • Developed real-time NLP and ML systems for Arabic text processing
    • Built models for sentiment analysis, text classification, emotion detection using FastText, CRF, and SVM
    • Designed intensive Arabic dialect preprocessing pipeline (Syrian dialect)
    • Developed backend AI services using Django

    MY Achievements

    some of my my achievements I proud of

    Reveal Data science Challenge

    I had the responsibilities of analyzing and understanding data(EDA),(Business Question and solutions)Feature Engineering, Model Building with machine learning and evaluation , and Develop web app of Recommendation system and I have won 2nd place in this challenge full details

    Data science Diploma

    about 4-month in Data science Diploma with machinfy academy with graduation project full details you can check my certificate in my linkedin profile certificate

    volunteer Mentor

    in SHAI For AI | شاي للذكاء الاصطناعي I share my knowledge and experience in Artificial intelligence to a passionate students from different countries , different levels and majors ,helping them with thier tasks

    volunteer coach

    Trainer at workshops in SHAI For AI | شاي للذكاء الاصطناعي that cover intro to Nlp , Tokenization ,Stemming Lemmatizing , TF-idf ,BOW and Some Cases in Nlp

    Read

    Recent Blog

    Blog Posts in Arabic Language

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    May 1, 2025 | مقدّمة في هندسة التّلقين Introduction to Prompt Engineering | 66

    Introduction to Prompt Engineering

    Large Language Models (LLMs) have emerged as the new gold standard in Natural Language Processing, revolutionizing how humans interact with AI systems. These powerful models are transforming workflows globally thanks to their exceptional generative capabilities and remarkable performance across diverse tasks. However, despite their groundbreaking achievements, LLMs occasionally produce hallucinated or inaccurate responses. This critical limitation can be significantly mitigated through sophisticated prompt engineering techniques, which serve as a crucial bridge between raw model capabilities and reliable, trustworthy AI outputs.

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    March 1, 2025 | Introduction to Hugging Face and Transformers library مقدّمة إلى مكتبة المحوّلات ومنصّة هاكينغ فيس 🤗 | 66

    Introduction to Hugging Face and Transformers library

    Hugging Face has revolutionized NLP by transforming from a simple library into the world's premier AI model ecosystem. This vibrant hub democratizes machine learning, enabling anyone—from enterprise data scientists to curious beginners—to experiment with, deploy, and fine-tune state-of-the-art models across diverse datasets and applications. With its comprehensive toolkit and collaborative community, Hugging Face breathes life into AI projects of every scale and ambition.

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    Oct 6, 2024 | مقدمة في نماذج اللغة الكبيرة Introduction to Large Language Models LLMs | 66

    introduction-to-large-language-models-llms

    AI has captured humanity's imagination like nothing before it. ChatGPT—the world's most famous Large Language Model—has broken through tech circles to become a household name, putting powerful AI tools into everyone's hands. But here's the fascinating contradiction: while millions use these systems daily, few understand the elegant complexity operating beneath their conversational surface.

    This guide illuminates LLMs' journey from simple text predictors to today's sophisticated reasoning engines, exploring their inner workings, real-world applications, and the ethical responsibilities that come with such transformative technology. First, let's position these linguistic powerhouses within AI's broader landscape.

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    Feb 6, 2025 | Types of Transformers | 66

    أنواع المحوّلات Types of Transformers

    AI has ignited global consciousness like wildfire. ChatGPT—that conversational sorcerer—has democratized AI's magic across demographics. Yet irony persists: while billions interact with these linguistic supernovae daily, their mathematical elegance remains hieroglyphic to most. First, let's map where LLMs shine within AI's cosmos.

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    Apr 25, 2024 | PySpark | 66

    PySpark

    Apache Spark: The distributed computing rocket that transforms impossible big-data tasks into effortless workflows. When local machines surrender to gigabytes, Spark clusters conquer petabytes—powering IBM, Amazon, Yahoo. In our data-saturated age, Spark expertise isn't luxury; it's survival.

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    Dec 30, 2023 | Effective Strategies for Handling Missing Values in Data Analysis | 66

    Effective Strategies for Handling Missing Values in Data Analysis

    Missing data—the dataset's silent killers—are those empty cells where values should live. In the Titanic dataset (Figure 1), watch how 'Age' and 'Cabin' columns bleed out with ghostly NaNs, already foreshadowing the tragedy in your spreadsheet.

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    May 30, 2023 | deep learning to predict future bitcoin prices | 66

    deep learning to predict future bitcoin prices

    Bitcoin—digital phantom money—floats as encrypted electrons masquerading as cash. Predicting its mood-swings prints profits for investors and stability for economies. Here, we forge an LSTM neural oracle that peers 10 days into Bitcoin's future using just 30 days of its volatile past.

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    Feb 30, 2023 | machine learning models deployment using streamlit | 66

    machine learning models deployment using streamlit

    Streamlit: the ML engineer's magic wand. This open-source Python framework turns data scientists into web-app wizards—no HTML, CSS, or JavaScript required. With a few lines of pure Python, transform your models into stunning, interactive dashboards that would take weeks using traditional frameworks.

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