Skills
AI Observability
Continuous validation and production monitoring for AI systems. Covers the unique challenges of observing non-deterministic outputs, bridging technical and business metrics, and connecting observability data to code and user experience. Drawn from practitioners at Deepchecks, PlayerZero, and others.
- +16
QA & Testing Engineering
Moving testing left, owning quality as a team, and validating software where it matters most. Covers testing culture, CI/CD integration, production testing, test architecture, and building testing systems that catch failures before users do. Drawn from practitioners at Kosli, CircleCI, and Ministry of Testing.
- +14
