Dr. Alex Chen

• Efficiently deploy and manage AI/ML models in production at scale
• Ensure data consistency between training and inference environments to improve model performance
• Accelerate the development and iteration cycle of new ML features and applications.

• Inconsistent feature definitions across different teams leading to errors
• High latency in retrieving features for real-time model inference
• Complexity and time spent on managing feature pipelines and data transformations.