Staff Performance Engineer focused on performance engineering, observability, peak workload validation, and AI platform reliability.
- Performance Engineering
- Observability
- Load Testing
- CI/CD Performance Gates
- Kubernetes Scaling
- Generative AI Platforms
- iOS Long-Session Performance
AI-powered Apache JMeter plugin for advanced performance analysis, regression detection, and interactive HTML reporting.
CI/CD automation framework for integrating LoadRunner Enterprise into GitLab pipelines.
Research and tooling around sustained mobile performance degradation and causal analysis.
- InfoQ - https://www.infoq.com/articles/metrics-driven-approach-ios-performance/
- SD Times- https://sdtimes.com/ai/your-ai-doesnt-know-what-revenue-means-thats-a-bigger-problem-than-you-think/
- Stickyminds - https://www.stickyminds.com/article/what-qa-teams-should-test-trusting-tool-calling-ai-agents-production
- Medium - https://medium.com/@vvudaykiran/7c2a4291fe67
- HackerNoon - https://hackernoon.com/i-watched-our-ai-pipeline-silently-fail-while-kubernetes-said-everything-was-fine
- LinkedIn - https://www.linkedin.com/in/vasukiudaykiran
- Medium - https://medium.com/@vvudaykiran
- ORCID - https://orcid.org/0009-0006-5254-3498