Nicolas Mauti, an MLOps Engineer from Lyon, shares his expertise in transforming BigQuery into a powerful feature management system for AI/ML applications. He discusses the challenges of feature versioning, monitoring, and data quality that his team overcame at Malt. The conversation explores how separating feature creation from model coding streamlined their workflows and enhanced performance. Nicolas also emphasizes the importance of effective data lineage tracking and retraining models to ensure consistent accuracy across machine learning projects.