Summary
Othman Faiq is an AI & MLOps consultant based in Paris with nine years’ experience delivering end-to-end data and machine learning solutions for major French investment banks. He combines hands-on data engineering, ML model development and GPU-backed infrastructure design to productionize pipelines, RAG systems and AI agents across hybrid on-prem/cloud environments. His background spans market data, risk and compliance use cases—implementing Kafka-driven ingestion, fallback strategies for financial risk workflows, and UEBA/NLP surveillance pipelines at scale. Comfortable translating requirements between technical and non-technical stakeholders, he has repeatedly driven operational robustness through sanity checks, monitoring and vendor integrations. Trained in applied mathematics and data science, he brings a quantitative mindset to pragmatic MLOps delivery and a track record of industrializing prototypes into resilient platforms.
9 years of coding experience
7 years of employment as a software developer
CPGE MPSI, CPGE MPSI at Lycée Jean Moulin (Forbach)
Master of Science in Data Science : Insurance & Finance, Master of Science in Data Science : Insurance & Finance at Université Paris-Saclay
CPGE PSI*, CPGE PSI* at Lycée Henri Loritz (Nancy)
Mathématiques appliquées, Mathématiques appliquées at ENSIIE - École Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise
Baccalauréat Mathématiques, Baccalauréat Mathématiques at Lycée Al Khawarizmy (Casablanca)
Arabic, French, English, langues berbères