Mohammed Sadique Khan

Devised a performance engineering strategy and plan to ensure high-volume data pipelines and BI dashboards remain performant and stable under massive concurrent loads. Conducts performance results analysis using AI for anomaly detection and reporting.

Led performance engineering for Zscaler Cloud Browser Isolation, including strategy/plan creation and release certification using automated performance testing. Built and automated browser and protocol-level performance test suites, deployed tooling in Kubernetes, and supported distributed peak-load, regression, failover, scalability, and soak testing.

Led performance engineering for payment processing systems handling very high transaction volumes, including performance testing script/scenario creation and performance results analysis. Owned performance engineering and testing readiness for peak usage, raised performance risks to stakeholders, and supported tuning, CI/CD integration, and log analysis/root-cause work.

Led performance engineering teams and worked as a hands-on individual contributor across multiple customer engagements spanning performance testing and performance engineering. Architected and developed components of an in-house performance testing product, including big-data-backed data ingestion features and client-focused performance testing support.