Zhexuan Meng

Senior Data Engineer @Visa

Architected and deployed production-grade MLOps pipelines to streamline the model retrain, production, monitoring and decommission process, leading to 40% reduction in retrain time and 2-10% improvement of model performance.• Collaborated with data scientists to align MLOps framework with business objectives, implement SLA tracking and design data QC framework, fostering a culture of rapid deployment and enhancing model reliability.• Designed reusable YAML-based Airflow DAG template, and built scalable ETL pipelines to standardize and automate workflows, process large scale data and ensure timely and accurate delivery of business solutions.• Implemented comprehensive monitoring and observability solutions to track pipeline health, ensuring seamless integration with production environments and enhanced model risk management.