Streaming Anomaly Platform
A replayable streaming pipeline that detects unusual behavior in high-volume event data and explains each alert.
- 2026
- wip
- Sole developer
Project brief
Replace this brief with the real domain, dataset, and motivation once the project exists.
Problem
What high-volume event stream needs faster or more trustworthy anomaly detection?
System design
Document ingestion, schema validation, windowed features, storage, model serving, alert delivery, and the dashboard that makes the result understandable.
Evaluation
Add throughput, end-to-end latency, precision/recall, false-positive analysis, and a comparison with a simple baseline.
Engineering notes
Explain how the system handles late events, malformed records, replay, monitoring, and local development.