Raktim Sarkar

About Raktim Sarkar

As an AI-driven Test Automation Architect having 14 YoE, I specialize in designing intelligent testing frameworks that merge traditional automation with advanced LLM and RAG-based AI systems.I bring hands-on expertise in Playwright, Selenium, Cypress, and REST API testing, coupled with a deep understanding of LLM evaluation, RAG pipeline testing, and multi-agent AI frameworks (MCP, LangChain, CursorAI, Windsurf, and Copilot).I have architected and evaluated custom LLM systems built on Retrieval-Augmented Generation (RAG), with comprehensive quality validation across retrieval, augmentation, and generation modules. My focus is on driving AI reliability, evaluation accuracy, and automation scalability through metrics like Context Precision, Faithfulness, Factual Correctness, and Topic Adherence using the RAGAS framework.On the automation side, I have built AI-augmented frameworks leveraging Python, Java, and JavaScript — integrating Playwright, Selenium, RestAssured, and Pytest with DevOps pipelines (Jenkins, Docker, Maven, Git) for scalable CI/CD execution.My mission is to push the boundaries of AI testing and automation engineering by blending LLM evaluation science with robust automation frameworks, ensuring next-gen quality assurance for AI-powered enterprise solutions — especially in healthcare and high-compliance domains.

Experience

1. Enterprise Architect

   Tata Consultancy Services

   Jul 2024 — Present · Kolkata, IN

Education

• West Bengal University of Technology, Kolkata

  Bachelor's degree, Electronics and Communications Engineering

  2007 — 2011