AI Systems - ML Feature Store

AI Systems - Agent Framework & Evaluation

AI Data Quality - Data Classification

Data Visualization Library Team

Machine Learning Platform Team - Feature Store

• Implemented pipeline to store which features in datasets are being used to train machine learning models in the model registry

• Contributed to feature packaging python class for customers to create and manage features

• Worked on the CDPush (Configuration and Data Push) Team, Google Cloud Core Infrastructure, collaborated with two other STEP interns

• Designed a visualization feature for Googlers to compare the status of their push to previous pushes, providing a better understanding of the process of the push and a better estimation of its completion time.

• Created a machine learning model that predicts if ad requests are going to monetize using early delivery stack features

• Investigated many different types of models, such as neural networks and boosted trees, using Tensorflow 2.0

• Investigated the potential of the project using Google Cloud Platform's AutoML Tables

• Provided proof of concept for data science team who are actively working to create a production-level model