Open to opportunities

Pratishtha Vikram Singh

@pratishthavikramsing

Message

I build scalable API, performance, and AI testing automation.

India

Message

What I'm looking for

I'm looking to build reliable, scalable distributed products through API automation, performance engineering, CI/CD, observability, and rigorous testing of AI and LLM-powered systems.

I've validated LLM-powered AI agents and conversational assistants at Precisely, improving regression coverage by 45%, reducing production API defects by 30%, and cutting validation cycle time by 40%.

At Palo Alto Networks, I automated CI/CD deployments to reduce manual deployment time by 70%, built Python API and Selenium UI automation frameworks for Prisma Cloud, and created production-like test environments that sustained 100,000+ requests per minute.

I've also optimized microservices on AWS EKS at Razorpay, using Kubernetes, Terraform, Spinnaker, observability tooling, and performance analysis to support stable releases and reliable distributed systems.

Experience

Work history, roles, and key accomplishments

Current

Senior Python QA

Current

Precisely

Jan 2026 - Present (7 months)

Validated LLM-powered AI agents and generative-AI workflows for enterprise data-integrity platforms. Built API automation for the AI Execution Service, improving regression coverage by 45% and reducing production API defects by 30%.

Python TestNG API Testing Content Safety LaunchDarkly Datadog Server Sent Events (SSE)AI Testing

Senior SDET

Razorpay

Mar 2025 - Jun 2025 (3 months)

Implemented an end-to-end test-automation pipeline using Spinnaker, streamlining release validation. Debugged and optimized microservices on AWS EKS and onboarded services via Terraform, resolving scaling and resource-throttling issues.

Spinnaker Kubernetes Terraform Microservices Debugging Performance Optimization Cursor AI assisted Development

Performance Engineer

Palo Alto Networks

Aug 2021 - Mar 2025 (3 years 7 months)

Automated service deployment within CI/CD pipelines, reducing manual deployment time by 70% and streamlining load-test execution. Architected production-like test environments in WireMock at 95% production fidelity, scaling to sustain 100,000+ requests/min.

Python Pytest Selenium Page Object Model API Testing Performance Testing JMeter JVM Tuning JFR Analysis GC Analysis WireMock Nginx Varnish Grafana Datadog CI CD Jenkins Gitlab Docker Kubernetes

QA Intern

Palo Alto Networks

Feb 2021 - Jul 2021 (5 months)

Built a Django application to compare test iterations against baseline performance, auto-generating reports to flag regressions. Automated validation of gRPC microservices using Protobuf contracts and contributed to CI/CD and data-visualization tooling.