End-to-end AI platform
- Problem
- Client needed a single platform to ingest data, run models, and expose results via API for internal and partner use.
- Constraints
- Tight timeline, existing auth and data sources, and requirement to support multiple model providers.
- Architecture
- Clear separation: ingestion pipeline, model abstraction layer, versioned REST API, and documented deployment runbooks.
- Outcome
- Production system deployed on client infra; team trained on operations and extension.