Summary
Souhir M'rabet is an R&D Data and AI engineer based in Paris with a decade of hands-on experience building end-to-end data pipelines, scalable data architectures, and production-ready ML/DL models. At Thales she has driven projects from data ingestion and preprocessing to deploying models with TensorFlow Serving, including deep-learning work on aircraft trajectory forecasting using autoencoders and LSTMs. Her background spans founding and leading a development team at a startup, full‑stack and mobile development, and practical AI work like OCR and image processing, giving her a rare blend of product-minded engineering and research-grade modeling. Comfortable across backend, APIs and model deployment, she focuses on turning complex, noisy datasets into reliable predictive services. While active on GitHub, her profile signals a practitioner who bridges rapid prototyping with operational robustness in safety-critical environments.
10 years of coding experience
5 years of employment as a software developer
Digital technology architect, Digital technology architect at 42
Licence, Computer Science, Licence, Computer Science at University of Science and Technology
French, English, Arabic