Build, train and deploy large time-series foundation models (multimodal inputs), design reproducible experiments, create data exploration tools, add datasets, deploy models to API/platform, iterate on user feedback, and mentor future team members.

Design and build a scalable forecasting platform handling diverse data types; develop real-time exploration tools, secure APIs and SDKs; implement monitoring, alerting, and data scraping automation; integrate ML models into pipelines; iterate from user feedback; and mentor early engineering hires.