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I am a Machine Learning Engineer specializing in generative artificial intelligence and NLP, with industrial experience at Michelin and applied R&D in AI. I enjoy designing, evaluating, and integrating machine learning models in production environments, focusing on generative architectures and RAG systems. My passion lies in the creative uses of AI and their integration into interactive products.…

Marwa Ezzouhri

AI Engineer, Game Developer, Data Scientist, +5

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I am a Machine Learning Engineer specializing in generative artificial intelligence and NLP, with industrial experience at Michelin and applied R&D in AI. I enjoy designing, evaluating, and integrating machine learning models in production environments, focusing on generative architectures and RAG systems. My passion lies in the creative uses of AI and their integration into interactive products.…

Available to hire

I am a Machine Learning Engineer specializing in generative artificial intelligence and NLP, with industrial experience at Michelin and applied R&D in AI. I enjoy designing, evaluating, and integrating machine learning models in production environments, focusing on generative architectures and RAG systems. My passion lies in the creative uses of AI and their integration into interactive products.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

French

Fluent

Arabic

Fluent

Spanish; Castilian

Beginner

German

Beginner

Work Experience

Machine Learning Intern at CodeScene

March 1, 2024 - August 31, 2024

Contributed to the development of CodeScene, a tool specialized in source code analysis and software maintainability prediction. Leveraged Large Language Models (LLMs) to generate an annotated dataset, later used to train an in-house LLM tailored to the specificities of source code. Conducted a comparative study on the effectiveness of CodeScene in predicting code maintainability, benchmarking against tools such as SonarQube. Designed and implemented a data processing and predictive analysis pipeline in Python, applied to software engineering. Helped improve interpretability and reliability of code quality predictions using AI approaches.

Software Engineer apprentice at Michelin

September 1, 2024 - September 30, 2025

Researched and evaluated C++ automatic differentiation frameworks, comparing tools like Sacado, Enzyme, FastAD, and CasADi based on performance criteria such as computation time and accuracy. Designed a benchmarking protocol with representative functions for real-world testing. Integrated the selected solution into Tametire, an internal real-time tire behavior simulation software. Developed an advanced neural network to predict simulation model parameters from real-world data.

AI Research Intern – Software Intelligence at Michelin

September 1, 2025 - September 1, 2025

Designed and benchmarked ML/NLP models to detect code hotspots and refactoring needs using graph embeddings; published internal reports; contributed to improving the ML-based analytics pipeline. Tools: Python, Scikit-Learn, PyTorch, Git, Data Mining, Graph Modeling.

Data Science Apprentice at Code Scene

August 1, 2024 - August 1, 2024

Contributed to data science projects with end-to-end ML workflows; built ML models and validated them; engaged in data exploration and feature engineering; produced analyses and benchmarks.

Data Scientist at Michelin

September 1, 2024 - September 1, 2025

Conception et développement d'algorithmes de machine learning et d’approches déterministes pour l’analyse de données issues de systèmes physiques. Traitement et analyse de données complexes provenant de simulations et de mesures réelles.

Data Scientist / AI Research Intern at CodeScene

March 1, 2024 - August 1, 2024

Conception et entraînement de modèles de machine learning et deep learning pour l’analyse de données textuelles et structurelles. Utilisation de techniques de NLP et d’embeddings pour extraire des informations pertinentes.

Machine Learning Engineer at Michelin

September 1, 2024 - Present

Conception et entraînement de modèles de machine learning et deep learning pour des problématiques industrielles complexes. Développement de pipelines d’expérimentation incluant l’évaluation, l’optimisation et la comparaison de modèles. Conception et intégration d’un pipeline d’auto-différenciation en C++ pour améliorer la précision des calculs en temps réel.