- – Design and implement production-grade geospatial libraries with clean APIs.
- – Build high-performance C++ core systems with Python bindings for accessibility.
- – Develop and optimize computational geometry algorithms for large-scale analysis.
- – 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.
- – Design scalable Spatial Cloud architectures integrating datasets and applications.
- – Collaborate with customers to implement spatial intelligence systems effectively.
- – Develop APIs and data pipelines to connect spatial data with operational systems.