Summary
Amina Annane is an NLP data scientist with 10 years of experience blending academic research and production AI to extract actionable insights from text and knowledge graphs. Based in Toulouse, she has delivered cloud pipelines using XLM-RoBERTa, BERT, SentFit and clustering for real-time event detection from tweets and for enriching satellite imagery with web and Wikidata metadata. Her background includes postdoctoral work on FAIRifying meteorological data and ontology-driven process modeling, reflecting a rare combination of semantics, ontologies and machine learning. She is practiced at project management and documentation, translating research prototypes into operational systems for industry partners like Thales and MétéoFrance. Notably, her PhD work advanced ontology alignment by leveraging knowledge-graph construction and supervised learning, showing a long-standing focus on bridging structured and unstructured data.
10 years of coding experience
3 years of employment as a software developer
Doctorat de philosophie, Computer Science, Doctorat de philosophie, Computer Science at Université de Montpellier
Doctorat de philosophie, Informatique, Doctorat de philosophie, Informatique at Ecole nationale Superieure d'Informatique (ESI)
French, English, Arabic