Summary
Yacine Allouache is a Data Engineer with 8 years of experience building production-ready AI and data pipelines from Paris, combining strong data science roots with software engineering discipline. He has delivered end-to-end solutions at Thales and earlier built scoring, content-generation and web-classification systems at Naister, leveraging PyTorch, TensorFlow, Spark and AWS for scalable workflows. At Capgemini he bridged recruitment and ML by designing a mission-consultant matching engine and microservices prototype, demonstrating an ability to turn research models into usable products. Comfortable across Python, Java, Docker and cloud services, he focuses on reliable data ingestion, feature engineering and model deployment. Notably, he pairs academic training from Sorbonne with practical documentation and CI/CD practices, making complex systems maintainable and team-friendly.
8 years of coding experience
1 year of employment as a software developer
Licence, Informatique, Licence, Informatique at Sorbonne Universités