Reliability Engineering · 2019—2025
Enterprise Systems, Made Testable
Before orchestrating LLM workflows, I spent six years making enterprise software observable, testable, and safe to change. That discipline is the foundation of how I now build production AI.
Architecture, not scripts. At RevJet / Innervate, I designed API and UI automation architecture, connected it to GitLab CI/CD quality gates and Docker test environments, and established reporting, triage, mentoring, and automation standards.
High-stakes FinTech. At Alfa-Bank, I built automation for business banking. At Sber, I led testing of core payment flows spanning iOS, Android, web, and self-service channels.
RevJet outcomes
- 70% faster regression
- 100+ API endpoints
- 50% maintenance gain
Why it matters for AI The transferable skill is not testing after the fact. It is designing systems so behavior can be checked, failures can be diagnosed, and releases can be trusted.
