- Lead complex, multi-stream initiatives across product, business analysis, QA, development, and vendor teams
- Provide end-to-end delivery oversight, including planning, execution, risk management, and reporting
- Bring structure, clarity, and momentum to evolving or loosely defined initiatives
- – Design and implement multi-modal ML frameworks for data extraction and structuring.
- – Prepare and curate high-quality datasets for training and evaluating machine learning models.
- – Develop robust pipelines for text and graphical extraction using OCR and deep learning.
- – Design and own distributed architecture for DGGS as a referencing layer.
- – Drive end-to-end system design decisions with full accountability for tradeoffs.
- – Build spatial indexing infrastructure for real-time, cross-scale data access.