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Kavitha Raman

Kavitha Raman

SOFTWARE QA LEADER

Talent
PleasantonMember since June 28, 2026
LLM TestingAI Test AutomationRAG Validation (RAGAS)Machine Learning (ML) Model TestingLarge Language Models (LLM)Natural Language Processing (NLP)Python (Pytest, Selenium)PlaywrightAmazon Web ServicesRisk ManagementPythonJavaC#Automation Frameworks (Selenium, TestNG)CI/CD (Jenkins, Azure DevOps)Performance & Regression TestingAPI TestingCloud PlatformsTest Management ToolsStrategic PlanningPerformance Testing (JMeter, LoadRunner)
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LLM TestingAI Test AutomationRAG Validation (RAGAS)Machine Learning (ML) Model TestingLarge Language Models (LLM)

About

AI-driven QA Leader with 17+ years of experience in test automation, data validation, NLP testing, and quality engineering across high-scale industries including Electric Vehicles, Connected Vehicle Platforms, Enterprise SaaS, State Government, Retail, and Financial Services. Expert in LLM and RAG validation (RAGAS), AI agent development, MCP server integrations, and building automation frameworks from scratch using Python, Selenium, Playwright, and CI/CD pipelines. Proven ability to lead and scale cross-functional global teams, validate cloud-to-vehicle and OTA systems, and deliver production-ready, compliant, and customer-centric solutions supporting millions of users and devices—on time and at enterprise scale.

Experience

Test Automation Eng Associate Manager at Accenture (2022-02 – 2025-12)

  • Led discovery workshops with business stakeholders to evaluate AI, Machine Learning, Generative AI, and automation opportunities, translating business challenges into actionable technology solutions.
  • Assessed technical feasibility, implementation risks, ROI, and scalability of AI/ML, Agentic AI, Data Analytics, and Intelligent Automation initiatives for enterprise clients.
  • Partnered with business executives, product owners, and engineering leaders to define solution scope, delivery roadmap, timelines, resource requirements, and cost estimates for AI-driven transformation programs.
  • Developed business cases and value realization frameworks for AI and automation initiatives, enabling executive stakeholders to make data-driven investment decisions.
  • Led cross-functional teams delivering AI-enabled solutions including LLM validation, intelligent workflow automation, predictive analytics, data quality frameworks, and enterprise automation platforms.
  • Directed end-to-end implementation of AI and automation solutions, overseeing requirements gathering, architecture reviews, testing strategy, deployment planning, and production readiness.
  • Designed and implemented quality assurance frameworks for Generative AI and Machine Learning systems, including prompt validation, hallucination detection, output accuracy assessment, and model performance monitoring.
  • Collaborated with Data Science, Engineering, and Product teams to evaluate, prototype, and operationalize AI/ML solutions using cloud-native technologies and modern automation frameworks.
  • Created executive-level proposals, solution estimates, project plans, and value stories, supporting pre-sales activities and securing stakeholder buy-in for enterprise AI transformation initiatives.
  • Presented solution recommendations, delivery approaches, risk assessments, and expected business outcomes to C-level executives, influencing strategic technology decisions and organizational adoption.
  • Served as a trusted advisor to business and technology leadership, bridging the gap between stakeholder objectives and AI solution delivery while ensuring alignment with business strategy, governance, and measurable outcomes.

Software Quality Assurance Manager at TIBCO Software Inc. (2016-06 – 2020-08)

  • Developed a Selenium WebDriver + Java test strategy that reduced redundancy by 70%, improved Agile delivery, and strengthened release quality.
  • Managed performance engineering using JMeter, LoadRunner, and New Relic to optimize system performance and reliability.
  • Built reusable automation frameworks using Selenium, TestNG, and Jenkins, reducing QA costs by 80% and accelerating regression cycles.

Senior Software QA Engineer at Open Mind Technologies, TIBCO Software Inc. (2012-08 – 2016-08)

  • Conducted Smoke, Functionality, Integration, System, and Regression testing based on user-focused design requirements.
  • Reduced labor costs by 80% by implementing test processes and automation frameworks with Selenium, Java, TestNG, Maven, and Jenkins to enhance reusability.

Software QA Engineer at KANA Software inc. (2006-06 – 2012-08)

  • Extensive experience in testing Client/Server, API, UI, and Web applications.
  • Proficient in installing and configuring environments for daily QA builds, including Linux/JBoss/Oracle, AIX/WebSphere/Oracle, and Solaris/WebLogic/Oracle.

Education

MBA in Information Technology – Golden Gate University

Post Graduate Program in Artificial Intelligence and Machine Learning: Business Applications – UT, Austin

AWS Certified Cloud Practitioner (CLF-C01)

Skills

SOFTWARE QA LEADER

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