Krishnaharini Ravikumar

I’ve spent 4 years providing L1/L2 production support for enterprise SaaS and web applications, including 1+ year supporting Procter & Gamble’s Consumer Reference Service (CRS) platform.

On P1/P2 incidents, I own the full incident workflow across REST APIs, MySQL databases, and backend microservices—using SQL investigation, Grafana monitoring dashboards, and application log review to drive root cause analysis and restore service.

I reproduce customer-reported defects in staging, write clear reproduction steps, and validate hotfixes and production releases with Engineering and QA to reduce recurring incident volume. I also keep incident quality high through 20+ runbooks, SOPs, and knowledge-base articles built for faster onboarding and consistent response.

Outside day-to-day support, I designed and built Aegis AI, an agentic AI “autonomous production operating system” that automates monitoring, issue detection, and troubleshooting workflows using Python/Node.js plus a dashboard UI.