"Turning research into reproducible, intelligent systems."
Master’s student in Big Data & Intelligent Systems (M2) at the Faculty of Sciences Dhar El Mehraz, USMBA – Fez.
Specialization: NLP, LLMs, Model Evaluation, and Data Engineering.
Passionate about reproducible research, fairness in AI, and intelligent system design.
Goal: Contribute to AI research and engineering projects in language models, GeoAI, and hybrid recommender systems.
- Bias and Robustness Analysis in Compressed Language Models (TinyBERT vs BERT-base)
- GeoAI Change Detection using LoRA and Transformer-based architectures
- Hybrid Recommender System combining semantic and collaborative filtering
- Reproducible ML pipelines with MLflow, Docker, and PySpark
| AI & Machine Learning | Data Engineering | Web & Software Development |
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| Databases | MLOps & Reproducibility | Tools & Platforms |
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Master of Science — Big Data & Intelligent Systems (2024 – Present)
*Faculty of Sciences Dhar El Mehraz (FSDM), Sidi Mohamed Ben Abdellah University – Fez, Morocco
- Selective program integrating Machine Learning, Natural Language Processing, and Data Engineering.
- Research focus on Large Language Models (LLMs), robustness evaluation, and scalable AI architectures.
- Graduate-level coursework: Advanced ML, Big Data Systems, Deep Learning, Data Warehousing, Cloud Computing.
Bachelor of Science — Mathematics & Computer Science (SMI) (2021 – 2024)
*Faculty of Sciences Dhar El Mehraz (FSDM), USMBA – Fez, Morocco
- Specialized in Applied Mathematics, Software Engineering, and Database Systems.
- Final Year Project: Car Rental Management System — built with .NET 8, WPF, and MySQL, focusing on architecture, data integrity, and UI responsiveness.
- Graduated with solid grounding in algorithmic design, object-oriented programming, and database management.
Data Engineering Intern – DIGITAL VALLEY, Fez (2024)
- Built a multi-source ETL pipeline (Web, CSV, Excel) with data quality control
- Designed analytical dashboards with Symfony 7 and MySQL
- Developed an OCR + LLM prompt-based IDP module for PDF/JPG extraction
- Documented the system and ensured GDPR compliance
Details: jalal-zerroudi.github.io/stages/StagiaireDIGITALVALLEY1
- Neo4j Certified Professional (2025)
- Graph Data Science Foundations (Neo4j, 2025)
- Passionate about connecting AI with real-world data problems
- Enjoy mentoring and collaborative research
- Constantly improving reproducibility in ML workflows
- Believe that artificial intelligence is not just technology, but a new way of thinking
