Skilled Summary – QA Automation Engineer
Results-driven QA Automation Engineer with expertise in Python, Pytest framework, Playwright, and Selenium, applying Object-Oriented Programming (OOP) principles to design scalable and maintainable automation frameworks. Skilled in data handling using Pandas Data Frames for test data management and validation. Proficient in API testing and automation (REST & GraphQL) with tools like Postman and Pytest, ensuring robust backend validation. Experienced in testing AI-powered applications including chatbots, text summarization tools, and Retrieval-Augmented Generation (RAG) systems integrated with vector databases and AI agents. Hands-on experience in CI/CD pipelines (Jenkins, Git Hub Actions, Git Lab CI) for continuous testing, and in performance, functional, and integration testing to ensure high-quality releases. Strong QA mindset with a focus on defect prevention, risk-based testing,



and automation coverage optimization.
Core CompetenciesAutomation Tools & Frameworks: Python, Pytest, Playwright, Selenium, OOP-based framework design (POM, Hybrid, Data-Driven)Data Handling: Pandas, Num Py for test data creation, transformation, and validationAPI Testing: REST, GraphQL, Postman, Pytest, KarateAI Application Testing: Chatbots, Summarization, RAG, Vector Databases (Pinecone, FAISS, Weaviate), AI AgentsCI/CD & Dev Ops: Jenkins, Git Hub Actions, Git Lab CI, Docker Testing Types: Functional, Integration, Regression, Performance (Locust, JMeter)Version Control: Git, Git Hub, Git Lab, BitbucketQA Practices: Test strategy, risk-based testing, automation coverage analysis, defect prevention

📌 QA Automation Engineer (India)
🏢 TekPioneers - A TekGence
📍 India