Trusted AI Metrics Platform
Rebuilt ML model monitoring metrics from scratch, enabling drift detection and API exposure for production systems.
PythonML OpsAPITesting
Overview
Rebuilt the model monitoring metrics layer to support drift detection and reliable API exposure in production.
Problem
Legacy metrics code was brittle, untested, and blocked integration with drift detection pipelines. Teams lacked consistent visibility into model health.
Approach
Rewrote the metrics calculation layer with clean abstractions, added drift detection algorithms, exposed metrics via a REST API, and built comprehensive tests.
Impact
Reduced false alerts by 40%, enabled automated drift monitoring across 12 production models, and raised test coverage from 0% to 85%.
Technologies
PythonFastAPIscikit-learnpytestDocker