Summary
Aissa Ouafi is a Senior Data Scientist and MLOps engineer based in Paris with 10 years’ experience building production-ready AI and observability systems for major banks. He has driven anomaly detection and monitoring platforms at Société Générale and BNP Paribas, combining Python, Spark, Kubernetes, Kafka and CI/CD to turn server logs and metrics into actionable alerting. Comfortable across the ML lifecycle, he blends big-data engineering, semi-supervised learning and real-time streaming to prevent incidents and improve production quality. Outside enterprise work he pursues EEG/BCI research—building OpenViBE-based pipelines to classify imagined and enacted movements for VR control—showing a knack for bridging neuroscience signals and applied ML. Colleague-tested for curiosity and pragmatic delivery, he regularly sharpens skills through Kaggle competitions and hands-on projects.
10 years of coding experience
7 years of employment as a software developer
DUT, Informatique, DUT, Informatique at Université Paris 13
Diplôme d'ingénieur, Informatique et réseaux, Diplôme d'ingénieur, Informatique et réseaux at Sup Galilée
French, Arabic, English