Senior Software Engineer — JupyterLab platform frontend extension, data-pipeline wizard, and typed codegen tooling (includes AI/agent stack contributions)
Maintained and extended a JupyterLab-based econometric/marketing-analytics platform that includes a reusable multi-step data-pipeline wizard for transforming and validating data. Built a queue-based transform-execution engine and a visual transform-chain graph that supports user-driven pipeline configuration and execution. The work also included creating typed schema-codegen tooling to bridge Python and TypeScript widget layers for consistent pipeline editing and UI behavior. • Implemented step orchestration with validation gates, draft persistence, and per-step re-rendering. • Developed a two-way ipywidgets↔React state synchronization layer for a React Flow pipeline-graph editor. • Hardened security for multi-tenant lifecycle layers (auth/token flow and filesystem/persistence protections). • Upstreamed JupyterLab/Jupyter-AI improvements to support agent-driven terminal execution and safer integration behaviors.