Develop tools for data integration, transformation, and cataloging, including Jupyter notebooks and APIs. Elevate data visualization capabilities with new chart types and dashboards. Collaborate on next-gen AI features, including LLM inference and machine learning experiments. Develop back-end capabilities for automating ML model lifecycles. Focus on scaling the platform and improving cloud integrations. Build features for AI compliance and governance.