- – 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 and optimize ML models for accurate health data extraction and processing.
- – Apply reinforcement learning techniques to enhance data collection and model accuracy.
- – Collaborate with cross-functional teams to develop client-focused machine learning solutions.
- – Leverage network to identify targets and conduct outreach for client introductions
- – Provide market insights and support proposal strategy for client meetings and deals
- – Maintain CRM records with contact details, next steps, and discussion summaries