Summary
Ilyas Aroui is a Senior AI Engineer based in Paris with 8 years of experience building production-grade computer vision and NLP systems across retail and research settings. With a Master’s in Machine Learning from Télécom Paris and strong roots in electrical engineering, he combines rigorous academic training with hands-on deployment expertise, especially in microservices, GCP and Kubernetes. At Trax and Qopius he led scalable open-set recognition and few/one-shot solutions for inventories with tens of thousands of classes, optimizing inference for mobile and AR apps. He now focuses on agentic AI workflows and pre-sales at Globant, bridging technical design with client impact and KPI improvements. Beyond standard CV stacks, Ilyas has deep experience in uncertainty calibration, feature fusion, knowledge graphs and active learning to make models robust on messy, real-world data. Colleagues know him for turning cutting-edge research into reliable production features and for communicating complex ideas clearly to both engineers and management.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, GPA: 4.0/4.0 (major de promotion), Bachelor's degree, Electrical and Electronics Engineering, GPA: 4.0/4.0 (major de promotion) at Institute of Electrical and Electronics Engineering (Ex: INELEC) Boumerdes
Master's degree, machine learning & computer vision, 16.05/20, Master's degree, machine learning & computer vision, 16.05/20 at Télécom Paris
Master's degree, machine learning & computer vision, Master's degree, machine learning & computer vision at Pierre and Marie Curie University
English, French, Arabic