Nitya
Nitya is a Performance Testing professional with 10+ years of industry experience, specializing in performance engineering, workload modeling, and scalable automation strategies for enterprise-grade applications. She possesses strong expertise in Apache JMeter, API performance testing, correlation, parameterization, throughput analysis, bottleneck identification, and end-to-end performance monitoring across distributed systems.
She has worked extensively on real-time projects involving load, stress, spike, soak/endurance, and scalability testing for web, mobile, and API-driven applications across multiple domains. Nitya also has hands-on experience with monitoring and reporting tools such as Grafana, InfluxDB, BlazeMeter, and APM tools, along with exposure to CI/CD-integrated performance execution and reporting workflows.
Beyond her technical expertise, Nitya is highly passionate about mentoring and guiding aspiring professionals in building strong practical foundations in Performance Testing and Engineering. She has successfully trained 200+ students through live batches and personalized 1-on-1 mentoring sessions, helping learners gain confidence in real-time implementation, troubleshooting, framework design, and interview preparation.
Her teaching methodology focuses on practical learning, real-time use cases, hands-on exercises, industry-oriented scenarios, and simplified explanations that make complex performance testing concepts easy to understand. With teaching being her true passion, Nitya is committed to helping students successfully transition into performance testing and performance engineering roles with confidence.
AI-Powered Performance Testing with JMeter, Groovy, AppDynamics, InfluxDB, Grafana & Datadog – Live Training
AI-Powered Performance Testing with JMeter, Groovy, AppDynamics, InfluxDB, Grafana & Datadog– Live Training (JMeter, AI for Test Script Creation, Groovy Scripting, CI/CD Integration, AppDynamics, InfluxDB,...

