New Zealand
I am a Machine Learning Engineer with extensive experience designing, developing, and deploying production ML systems with daily operational impact. I specialize in end-to-end workflows, bridging data science and engineering to deliver reliable AI solutions. My work includes supporting real-time decision-making for operations teams.
End-to-End Production ML Systems: Designed, developed, and deployed production-ready ML systems. Production Pipelines & Reliability: Built robust model training, deployment, and monitoring pipelines, integrating real-time operational data and ensuring system stability under changing conditions. Operational Dashboards & Tools: Developed interactive dashboards using Python, Dash, and Azure App Service. Data Integration & Model Maintenance: Managed data schema changes, model versioning, and automated updates. Cross-Functional Collaboration: Partnered with Data Engineering and MLOps to integrate ML models into operational workflows. Knowledge Transfer & Mentoring: Trained and guided MLOps engineers and stakeholders on system functionality. Business Impact & Decision Support: Enabled measurable improvements in operational forecasting, efficiency, and risk management.