Regular Pulse

Working on improving the reinforcement learning model for delivery optimization. Spent the day analyzing feature importance and tuning hyperparameters.

Reviewed the latest research on time-series foundation models. Started drafting ideas for a new project combining forecasting with uncertainty quantification.

Attended a virtual workshop on MLOps best practices. Learned about new tools for model versioning and experiment tracking.

Fixed a bug in the production forecasting pipeline. The issue was related to timezone handling in the data preprocessing step.

Read a fascinating paper on diversity metrics in generative models. Thinking about how to apply similar concepts to our recommendation systems.