At Oracle, I lead engineering for a multi-tenant signals usage analytics platform serving customers across 28 regions. I led automated regional onboarding, reducing pipeline deployment from two days of manual work to 45–60 minutes.
I lead a live agentic-AI self-healing pipeline that detects failures, classifies likely causes, presents evidence, and applies human-defined remediation. I also lead telemetry anomaly detection that combines statistical baselines with LLM-assisted prioritization to surface customer data-quality issues.
As Principal Member of Technical Staff at Oracle, I designed token-mapped data lake partitioning that enforced tenant isolation at the physical data layer. This changed onboarding from a multi-day handoff to customers seeing three months of historical data the next day.
Earlier at Oracle, I designed the Oracle Application Recommendation Service and developed backend systems and application tooling. At Mahindra Satyam, I worked as a J2EE Application developer for Mazda Client with IBM Backend.
