Junior Software Engineer | Data Scientist | Python Developer
Passionate about AI, NLP, and Data-Driven Innovation
Passionate about Deep Learning, NLP & Innovation in R&D
- Location: France & Morocco
- Education: Software Engineering & Master PSMSC
- Contact: LinkedIn
- Software Development
- Data Science & Machine Learning
- Natural Language Processing (NLP)
- Software Development & APIs
- Data Engineering & Warehousing
- Large Language Models (LLMs) & Generative AI
- Agile (Scrum)
- Merise
- Waterfall (V-Model)
- Arabic: Native
- French: Bilingual
- English: C1 Level
Scalian, Toulouse, France | March – August 2025
- Designed a PDF analysis pipeline with fine-tuning and model comparison (RoBERTa, DistilRoBERTa, MatSciBERT).
- Developed a business entity extraction module using a multi-agent system (Ollama + Granite 3.3).
- Integrated results into a Neo4j Knowledge Graph.
- Tech stack: Python, LangChain, FastAPI, PyTorch, Transformers, SpaCy, Docker, PostgreSQL.
Banque Populaire 2S | June – September 2024
- Built a Data Warehouse consolidating millions of heterogeneous records.
- Automated ETL pipelines using Python, PostgreSQL, SSIS, Celery.
- Improved efficiency of financial reporting.
STMicroelectronics | June – July 2023
- Automated inventory management and reduced overtime.
- Developed an algorithm to optimize stock usage.
- Technologies: Python, Flask, MySQL.
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WhatsApp Bot Platform (SaaS Multi-User)
Automated workflows, notifications, and calendar synchronization.
React, TypeScript, Tailwind, FastAPI, SQLAlchemy, JWT, Google API. -
Fake News Detection
Multilingual classification with fine-tuned CamemBERT and DistilBERT.
Python, Scikit-learn, PyTorch, TensorFlow. -
Time Series Forecasting
Demand prediction using LSTM, ARIMA, Prophet. -
Credit Risk Prediction (MLOps)
Modular architecture with CI/CD, model tracking, and deployment.
Python, MLFlow, XGBoost, Streamlit, Docker, DVC.
IA ENSIAS CLUB | 2023 – 2024
- Supervised and mentored members in MLOps practices.
- Built pipelines for AI model deployment and monitoring.
IA ENSIAS CLUB | 2022 – 2023
- Led projects in data analysis and machine learning.
- Conducted workshops on data cleaning and visualization.
- Supervised Machine Learning: Regression & Classification (Stanford – Coursera)
- Understanding Data Visualization (DataCamp)
- Docker Basics for Containerization (DataScientist.fr)
- Neo4j Fundamentals (GraphAcademy)