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Abderrahmane User

@abderrahmaneuser1

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I build NLP, RAG, and real-time Big Data machine learning systems.

Morocco

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What I'm looking for

I'm seeking opportunities in Data Science, Machine Learning Engineering, and Big Data where I can build end-to-end ML systems, NLP applications, RAG pipelines, and real-time data solutions.

I've built end-to-end ML systems spanning predictive maintenance, anomaly detection, NLP, and RAG. During my internship at Smart Automation Technologies in Tangier, I implemented ML/DL models and a RAG-based AI chatbot using LangChain.

My recent projects include a distributed real-time sentiment analysis pipeline for Amazon reviews using Kafka, Spark Streaming, Airflow, MongoDB, Docker, and Streamlit. I also developed a RAG-powered system that generates YARA rules from natural-language descriptions using FAISS, BM25, LangChain, Mistral-7B, and Gradio.

I'm pursuing a Master's degree in Artificial Intelligence & Data Science at FST Tangier, building on a Bachelor's degree in Data Analytics. I've also applied deep learning to water-resource forecasting and machine learning to employee churn prediction.

Experience

Work history, roles, and key accomplishments

Internship - Predictive Maintenance & Embedded Systems

Smart Automation Technologies

Apr 2025 - Jun 2025 (2 months)

Developed an intelligent predictive maintenance and anomaly detection system. Implemented ML/DL models and a RAG-based AI chatbot using LangChain.

Python TensorFlow scikit learn Lang Chain Ollama GROQ

Real-Time Sentiment Analysis-BigData

Personal Project

Apr 2026 - May 2026 (1 month)

Design of a distributed Big Data pipeline for real-time sentiment analysis of Amazon reviews via Kafka and Spark Streaming. Orchestrated with Apache Airflow and containerized with Docker Compose. Achieved 85.41% accuracy.

Python Kafka PySpark Docker MongoDB Airflow NLP Machine Learning

Water Resource Forecasting with LSTM

Personal Project

Nov 2025 - Dec 2025 (1 month)

Built a multivariate LSTM model to forecast water demand, supply and storage for the Tangier region (2026–2035). Generated synthetic data using generative AI.

Python TensorFlow Long Short Term Memory (LSTM)Deep Learning Generative AI

Intelligent YARA Rule Generation via RAG

Personal Project

May 2026 - Jun 2026 (1 month)

Developed a multi-architecture RAG system to automatically generate YARA malware detection rules from natural language. Benchmarked 3 LLMs and 4 RAG strategies; Mistral-7B + Classic RAG achieved 9.01/10.

Python NLP Faiss RAG Lang Chain Mistral