Python Automation QA Tester (Selenium, API)

Mrutyunjaya Parida

Software Test Engineer Python Automation Selenium Pytest API Testing SQL AI & GenAI Testing Mail Id: ******************@*****.*** Mob: +91-863******* Bangalore, India Professional Summary

Result-oriented Python Automation Test Engineer with 5+ years of experience in Manual, Automation, API, and Web Application Testing. Strong expertise in Python, Selenium WebDriver, Pytest, Playwright, API Testing, Postman, SQL, and CI/CD automation. Experienced in developing and maintaining scalable automation frameworks using Python and Selenium, executing Functional, Regression, Integration, Smoke, and Sanity testing, and validating REST APIs. Hands-on knowledge of AI/Generative AI concepts, LLM APIs, Prompt Engineering, AI-assisted testing, and test automation using AI tools. Proficient in Agile-Scrum, defect lifecycle management, Git, Jenkins, Linux/UNIX, and database testing. Strong ability to collaborate with cross-functional teams and improve test coverage, automation efficiency, and overall software quality.

Technical Skills

• Testing: Manual Testing, Functional Testing, Regression Testing, Smoke Testing, Sanity Testing, Integration Testing, User Acceptance Testing (UAT), Defect Lifecycle Management

• Python Automation: Python, Selenium WebDriver, Playwright, Pytest, Unittest, Page Object Model (POM), Data- Driven Testing, Hybrid Automation Framework, Test Fixtures, Assertions, Exception Handling

• API Testing: REST API Testing, Postman, Swagger

• AI / Generative AI: Generative AI, LLM Fundamentals, LLM APIs, Prompt Engineering, AI-Assisted Test Case Generation, AI-Assisted Test Script Generation, Test Data Generation, AI-Based Test Analysis, ChatGPT/OpenAI APIs, Basic RAG Concepts, Embeddings Fundamentals

• Programming & Scripting: Java, Python, SQL, Shell Scripting, PowerShell

• Databases: MySQL, SQL Server, Oracle, Advanced SQL Queries

• Tools & Platforms: JIRA, TestRail, Git, Jenkins, Postman, Swagger

• Operating Systems: Windows, UNIX, Linux

• Methodologies: Agile-Scrum, CI/CD, Software Development Life Cycle (SDLC), Software Testing Life Cycle (STLC)

• Domains: IoT, Web Application Testing, API Automation Testing Professional Experience

AI Quality Engineer SSL Infotech Pvt Ltd Client: Infosys Dec 2021 – Present Bangalore

• Developed and maintained automated test scripts using Python, Selenium WebDriver, Playwright, and Pytest following Page Object Model (POM) and reusable automation practices.

• Designed and executed functional, regression, smoke, sanity, integration, and end-to-end test cases for web applications across multiple releases.

• Automated REST API testing using Python Requests and Postman, validating HTTP methods, status codes, response data, headers, JSON payloads, and API workflows.

• Analyzed business and technical requirements and collaborated with Development, Product, and DevOps teams to identify test scenarios, prepare test data, and improve test coverage.

• Integrated automated test suites with Jenkins CI/CD pipelines to support continuous testing and provide faster feedback on application quality.

• Performed database validation using SQL queries across MySQL, SQL Server, and Oracle to verify backend data integrity and end-to-end application workflows.

• Identified, documented, and tracked defects using JIRA, performed root-cause analysis with development teams, and carried out retesting and regression testing to verify fixes.

• Used Git/GitHub for source code management and maintained automation scripts, test configurations, reusable utilities, and test execution reports.

• Applied AI and Generative AI tools to assist with test case generation, test data creation, automation script development, defect analysis, and test documentation.

• Explored LLM APIs, prompt engineering, and AI-assisted testing approaches to improve test automation productivity and reduce repetitive QA activities.

• Participated in Agile-Scrum ceremonies including Sprint Planning, Daily Stand-ups, Backlog Refinement, Sprint Review, and Retrospectives, contributing to continuous QA improvements. Key Project

Project-1: AI-Powered Recruitment Screening & Quality Automation Platform Environment: Python, Pytest, Selenium WebDriver, REST API, Postman, Python Requests, SQL, MySQL, LLM APIs, Qdrant Vector Database, MinIO, Jenkins, Git/GitHub, JIRA, Linux/UNIX, CI/CD

• Designed and executed end-to-end test scenarios for an AI-powered recruitment screening platform using Python, Pytest, Selenium, and API automation.

• Developed Python-based automation scripts for functional, regression, UI, API, and end-to-end testing of recruitment workflows.

• Performed API testing using Postman and Python Requests, validating HTTP methods, status codes, JSON payloads, response data, and error-handling scenarios.

• Validated AI-driven workflows including resume ingestion, semantic search, candidate matching, recommendations, and integration with LLM services, Qdrant Vector Database, and MinIO.

• Used SQL queries to validate candidate data, screening results, and backend records, ensuring data consistency across application and database layers.

• Integrated automated test execution with Jenkins CI/CD pipelines and used AI-assisted testing techniques for test case generation, test data creation, automation scripts, and defect analysis. Project-2: AI-Powered Customer Support & GenAI Testing Platform Environment: Python, Pytest, REST API, Postman, LLM APIs, Prompt Engineering, RAG, Embeddings, Vector Database, SQL, Git, Jenkins

• Designed and executed functional and AI-specific test scenarios for an AI-powered customer support application using Python and Pytest.

• Tested LLM-based workflows including prompt processing, response generation, context understanding, question answering, and fallback handling.

• Created test datasets to validate AI responses across positive, negative, boundary, ambiguous, and adversarial scenarios.

• Validated LLM responses for relevance, accuracy, consistency, hallucination, prompt adherence, and response format.

• Tested RAG-based workflows by validating document ingestion, chunking, embeddings, vector search, retrieved context, and final LLM responses.

• Performed API testing using Postman and Python Requests, validating status codes, headers, JSON payloads, authentication, response schemas, and error handling.

• Designed prompt-injection and unsafe-input test scenarios to evaluate the robustness of AI-powered features.

• Used SQL queries to validate backend data, conversation history, user requests, and AI-generated results.

• Used AI-assisted techniques for generating test scenarios, test data, test scripts, and defect analysis while manually reviewing generated outputs.

• Integrated Pytest automation with Jenkins CI/CD pipelines to execute AI and API regression suites and generate test reports

Project-3: E-Commerce Web & API Automation Testing Framework Environment: Python, Selenium WebDriver, Playwright, Pytest, REST API, Postman, SQL, MySQL, Jenkins, Git, JIRA, Page Object Model

• Developed a scalable Python automation framework using Selenium WebDriver, Pytest, and Page Object Model

(POM) for an e-commerce web application.

• Automated critical business workflows including login, product search, product filtering, product details, cart, checkout, order placement, and order history.

• Created reusable page classes, fixtures, utilities, test data handlers, assertions, and configuration modules to improve framework maintainability.

• Implemented functional, regression, smoke, sanity, and end-to-end automation test suites.

• Developed data-driven test cases to validate multiple combinations of users, products, credentials, and transaction scenarios.

• Automated REST APIs using Python Requests and Postman and validated HTTP methods, status codes, JSON responses, headers, schemas, and error scenarios.

• Performed database validation using SQL queries to verify customer, product, inventory, payment, and order information.

• Implemented explicit waits, dynamic XPath/CSS locators, exception handling, screenshots, and logging for stable UI automation.

• Integrated automated test suites with Jenkins CI/CD pipelines for scheduled and build-triggered regression execution.

• Used Git/GitHub for version control and JIRA for defect reporting, tracking, retesting, and regression verification. Education

B.Tech Centurion University of Technology & Management 2018 Odisha

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