Snowflake / AI & developer productivity
Making AI a reliable engineering workflow
An AI-native SDLC automation layer that turns ad-hoc agent sessions into auditable, phase-separated engineering workflows.
The challenge
Bring consistency and accountability to AI-assisted software delivery, rather than relying on disconnected agent sessions.
My contribution
Architected and built an automation layer with a deterministic code-review engine, a Confluence-backed test-plan generation pipeline, and release validation. Workflows are separated into auditable phases by Jira status.
The outcome
Improved deliverables efficiency by 3× overall across multiple teams.