Key Strengths

Extensive experience (10 years) in QA, covering manual, automation, and AI-driven testing, highly relevant for a Senior QA Engineer role.
Specialization in GenAI/LLM validation, including prompt engineering, hallucination detection, and LLM output accuracy, demonstrating expertise in a cutting-edge domain.
Proven leadership capabilities, having led QA teams (6 engineers) and managed projects, aligning with senior-level responsibilities.
Strong track record of improving quality metrics, evidenced by reduced regression cycle time (40%), improved release quality (30%), and reduced production issues (60%).
Proficiency in a wide array of testing tools and frameworks, including Selenium WebDriver (Java), TestNG, REST Assured, Postman, JIRA, Jenkins, and Git.
Experience with multiple testing methodologies (Agile, SDLC, Waterfall, STLC) and strong reporting/documentation skills for QA artifacts.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score is 0, which is a significant concern regarding work attitude, stress handling, and team collaboration, as per the test's evaluation focus. However, the resume indicates positive team collaboration and recognition as a 'team player' and for 'customer focus,' creating a discrepancy that requires further investigation to accurately assess cultural fit.

Soft Skills & Operational Fit

The candidate's resume indicates strong leadership in managing QA teams, delegating tasks, and reporting to management. Experience in fast-paced development environments and handling multiple projects suggests adaptability. Collaboration with development teams for issue resolution and recognition as a 'team player' highlight positive interpersonal skills. Awards received for 'Quality and Customer focus' further support a commitment to operational excellence and quality.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Extensive experience (10 years) in QA, covering manual, automation, and AI-driven testing, highly relevant for a Senior QA Engineer role.
Specialization in GenAI/LLM validation, including prompt engineering, hallucination detection, and LLM output accuracy, demonstrating expertise in a cutting-edge domain.
Proven leadership capabilities, having led QA teams (6 engineers) and managed projects, aligning with senior-level responsibilities.
Strong track record of improving quality metrics, evidenced by reduced regression cycle time (40%), improved release quality (30%), and reduced production issues (60%).
Proficiency in a wide array of testing tools and frameworks, including Selenium WebDriver (Java), TestNG, REST Assured, Postman, JIRA, Jenkins, and Git.
Experience with multiple testing methodologies (Agile, SDLC, Waterfall, STLC) and strong reporting/documentation skills for QA artifacts.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Surabhi Kumar

QA Engineer

https://talent.gravityer.com/surabhi-kumar

Institute Of Engineering And Rural Technology

Bengaluru, Karnataka, IndiaMember since May 8, 2026

https://talent.gravityer.com/surabhi-kumar

About

QA Lead with 10 years of experience in manual, automation, and AI-driven testing, specializing in Selenium, API testing, and GenAI/LLM validation. Proven track record of leading QA teams, improving test coverage, and delivering high-quality releases in Agile environments. Experienced in testing AI systems for accuracy, hallucination, and prompt robustness.

Skills

Quality AssuranceSelenium WebDriverSeleniumRestAgentic AiCross Browser TestingCustomer SupportDeploymentEclipseExcelCore JavaContinuous DeploymentContinuous IntegrationAI EngineerFrontend TestingGCCGithubObject Oriented ProgrammingQA Engineers

Education

Institute Of Engineering And Rural Technology

B.Tech · Computer Science and Engineering

June 12, 2011 – June 14, 2015