High-integrity electoral aggregation system engineered for the 2024 General Elections. Bridging the gap between high-volume data ingestion and real-time visualization.
SECTOR
GovTech / Data Viz
ARCHITECTURAL STACK
ACCESS LEVEL
RESTRICTED_SOURCE

Engineered a bespoke mapping solution by converting raw SVG topological data into high-performance GeoJSON. This allowed for granular, constituency-level data projection that standard mapping libraries could not handle efficiently.
Implemented a Web Socket architecture to push live result updates to media houses with sub-second latency during peak election traffic.
Utilized Hot Chocolate (GraphQL) to aggregate disparate data sources into a single, type-safe schema for the frontend.
Engineered the algorithmic color-coding system that automatically painted constituencies based on winning party themes in real-time.
Strict RBAC implementation ensuring sensitive electoral data could only be mutated by verified collation officers.
