Manoj Kumar M

Results-driven SDET with 3+ years of experience specializing in building high-performance UI and API automation frameworks. Expert in Playwright (TypeScript), Cypress, and Karate DSL, with a proven track record of reducing regression cycles by over 50% through strategic CI/CD integration and Shift-Left testing methodologies. Proven expertise in AI/LLM and RAG-based system testing, including vector search validation (ANN/KNN), prompt validation, hallucination detection, and response benchmarking.

Passionate about accelerating release velocity and quality through intelligent, scalable test strategy.

Quality Engineer — SDET at Responsive (formerly RFPIO) (2022-07 – Present)

• Architected a scalable E2E automation framework using Playwright (TypeScript) with POM, increasing test coverage from 40% to 85% across mission-critical modules.
• Optimized CI/CD pipelines within GitHub Actions, achieving a 40% reduction in developer feedback loops via parallelized test execution.
• Spearheaded cross-browser compatibility testing across Chrome, Edge, and Firefox, ensuring 100% UI consistency for 500+ enterprise clients.
• Engineered a comprehensive API regression suite using Karate DSL, identifying 25+ critical backend bottlenecks prior to production deployment.
• Validated RESTful APIs with schema checks, edge case coverage, and response integrity using Postman and SQL database validation.
• Integrated API regression tests into CI/CD pipelines for continuous backend validation.
• Tested AI/LLM and RAG-based systems using ANN/KNN-based vector search validation and monitored Vector Database integrity.
• Implemented AI-driven testing workflows using LLMs to generate complex edge-case datasets, reducing manual scenario preparation time by 30%.
• Performed prompt validation, hallucination detection, and response benchmarking across model updates.
• Defined testing strategy based on business journeys: Revenue-Critical, Operational, Compliance, Customer Retention.
• Led manual test planning for complex workflows and executed JMeter-based API load testing.
• Optimized GitHub Actions pipelines with parallelized test execution, reducing regression feedback loops by 40%.
• Collaborated in high-velocity Agile sprints to perform Shift-Left testing, leading to a 20% decrease in production escape defects.

B.Tech in Electronics and Communication Engineering – Bannari Amman Institute of Technology (2019 – 2023)