Role in this project:
ML Engineer Contributions:27 commits, 4 pushes in 4 months
Contributions summary:Sean's primary contributions focus on developing and integrating machine learning models within the AWS SageMaker environment. The commits demonstrate the addition of sentiment analysis notebooks using XGBoost and PyTorch, indicating model development and implementation. Furthermore, the code changes suggest involvement in deploying ML models, exemplified by the custom model API notebook, and include the use of batch transform for model testing, and web app development.