AI investigative platform for high-volume audio and intelligence audit records.
- Frontend Architect, migrated Ember platform to React with Typescript
- Engineered interactive Node-Link and Tree charts with D3.js for visualizing complex relationships across disparate case files, aiding investigators in identifying patterns within millions of audio records.
- Designed a custom audio scrobbler engine with sub-100ms latency for instant interactions synchronized with real-time AI transcripts, incorporating temporal indexing for precise annotation and navigation of high-density audio data.
- Engineered a dynamic form engine to streamline complex investigative workflows, reducing user error rates by 30% through strict schema validation and state synchronization.