Freelance QA Engineers in Delhi
Freelance QA Engineers in Delhi
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Manoj Rana
Dadri, India
A Full Stack QA[6+ YOE] to perform End to End testing.
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A Full Stack QA[6+ YOE] to perform End to End testing.
0
Professional End-to-End Test Automation Framework for SauceDemo A production-ready Playwright test automation suite built with TypeScript, demonstrating industry best practices for modern QA automation. 🎯 KEY FEATURES: ✅ Page Object Model (POM) architecture for maintainable test code ✅ Comprehensive test coverage including: • User login flows (valid/invalid credentials, locked accounts, performance users) • Complete e-commerce purchase workflows • Multiple user personas & edge cases ✅ TypeScript for type-safe, scalable test development ✅ Data-driven testing with JSON test data management ✅ Playwright test runner with HTML reporting ✅ Cross-browser test capability configuration 📂 PROJECT STRUCTURE: • Page Objects (web/pages/) - LoginPage, BuyProductPage • Test Cases (web/testcases/) - Login tests, Purchase flow tests • Test Data (dataObjects/testData/) - User credentials & scenarios • Configuration files (playwright.config.ts, tsconfig.json) 🔧 TECHNOLOGIES: • Playwright 1.61.0 • TypeScript • Node.js • HTML Test Reports
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Built a Selenium Automation Framework using Java and TestNG for automated web application testing. Implemented Page Object Model (POM), DataProvider-based parallel execution, reusable utility classes, cross-browser support, and automated validations for multiple application modules. Integrated assertions, browser management, and scalable framework design to improve test execution efficiency and maintainability. github - https://github.com/mrmanojrana431/saucedemo-selenium-java-automation-test
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Designed and executed an end-to-end performance test scenario for flight booking workflow on BlazeDemo. Created JMeter scripts covering: ->Launch Application ->Select Departure & Destination ->Choose Flight ->Complete Flight Booking ->Booking Confirmation Implemented dynamic correlation using XPath Extractors and Regular Expression Extractors. Added Assertions for response validation. Configured Think Time to simulate realistic user behavior. Executed load test with 10 concurrent virtual users. Analyzed performance metrics using Aggregate Report. Maintained test scripts in Git repository with version control. Tools & Technologies: Apache JMeter 5.6 XPath Extractor Regular Expression Extractor HTTP Cookie Manager Git & GitHub Deliverables: JMeter Test Plan (.jmx) Execution Video Recording Test Results & Aggregate Report Source Code Repository Github - https://github.com/mrmanojrana431/jmeter_blazedemo
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🚀 Need reliable test automation for your web application? I recently set up a complete CI pipeline using Jenkins + Selenium + Java + TestNG + Maven, where Jenkins automatically: ✅ Pulls the latest automation code from Git ✅ Executes end-to-end test suites ✅ Generates detailed HTML reports ✅ Provides quick visibility into test results and failures I help businesses build and maintain: 🔹 UI Test Automation Frameworks 🔹 CI/CD Integration with Jenkins 🔹 Regression Test Automation 🔹 Performance Testing with JMeter & k6 🔹 Custom QA Automation Solutions If you're looking to reduce manual testing efforts and improve release confidence, let's connect. #QAAutomation #SDET #Selenium #Jenkins #TestAutomation #Java #TestNG #Maven #CI #SoftwareTesting #PerformanceTesting #WebAutomation
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55
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(3)
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BABLOO KUMAR SAH
New Delhi, India
GenAI & QA expert, full-stack developer, problem solver.
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GenAI & QA expert, full-stack developer, problem solver.
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Building AI-Powered Automation: From QA Testing to Full-Stack Development 🚀 Just wrapped up another successful client project integrating AI/LLM automation into their existing workflow. Here's what I learned: ✅ Key Takeaways: Automating repetitive tasks saves 60%+ dev time AI integration isn't just for chatbots anymore Full-stack solutions + automation = competitive edge Documentation & testing = non-negotiable Currently working on: 🔧 Building custom LLM workflows with Ollama 🔗 Docker + Node.js automation pipelines 📊 E-commerce automation for batch operations 🤖 AI-powered QA testing frameworks If you're looking to automate your business processes or need full-stack development with AI integration, let's talk! What automation challenge are you facing? Drop a comment below! 👇
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LINKEDIN ANALYTICS CHROME EXTENSION Launched LinkedIn Profile Analytics Chrome Extension 📊 ✅ Real-time profile view tracking ✅ Visitor insights & analytics dashboard ✅ Connection growth metrics ✅ Post engagement analyzer ✅ Profile optimization recommendations ✅ Export data to CSV/Excel ✅ One-click installation from Chrome Store Perfect for: 💼 Freelancers & job seekers 🚀 Content creators 📈 Business development pros 💰 Sales professionals Monitor your LinkedIn impact instantly! Building smart tools that scale your reach 🔥 What Chrome extensions would help your workflow?
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Built a complete ERP/CRM system for agriculture & farming 🌾 ✅ Dashboard with real-time analytics & KPIs ✅ Invoice + Sales Management modules ✅ Farmer & Customer database ✅ Employee & Attendance tracking ✅ Inventory & Purchase automation ✅ Advanced BI with AI-powered insights ✅ PDF + Excel export (₹24K+ sales tracked) Perfect for: 🚜 Agriculture businesses 🏢 SMEs & trading companies 📊 E-commerce platforms Need a custom ERP? Let's scale your business! 📈 What industry would benefit from ERP automation? 👇
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Invoice & Receipt Automation Solution. Just built a complete invoice & receipt management. What we delivered: ✅ Proforma Invoice builder for B2B & international trade ✅ Fast Food Receipt generator with real-time preview ✅ Multi-template support (GST, VAT, Tax invoices) ✅ Automated company info & billing calculations ✅ Restaurant order management with itemized breakdown ✅ Export-ready invoices (PDF, printable formats) Business Impact: ⏱️ Saves 70%+ time on invoice generation 💰 Reduces billing errors by automating calculations 📈 Scalable for B2B, restaurants, and service businesses Perfect for: 🏢 E-commerce platforms 🍔 Restaurant chains 💼 B2B service providers 🏭 Manufacturing & trading companies Need invoice automation? Let's build it! What document automation solution would you build next? 👇
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QA Engineer
(1)
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BHAVYA BHUSHAN
Delhi, India
Fullstack Engineer & Project Management Expert
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Fullstack Engineer & Project Management Expert
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QA Workflow Optimization and Efficiency Enhancement
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11
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Performance Transparency Dashboard
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AI-powered Persona Generator for Enhanced Client Understanding
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Himanshu Bansal
pro
Dadri, India
Skilled SDET and web/mobile applications developer.
5.0
Rating
10
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Skilled SDET and web/mobile applications developer.
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Six Flags: Thrilling Theme Parks
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16
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TK-Coach - Wellness App
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11
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PromoTix: Simplifying Influencer Marketing
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9
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Zenni Optical - Affordable Eyewear Platform
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9
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Shobhit Verma
pro
Delhi, India
React QA Automation Engineer | CI/CD Testing
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React QA Automation Engineer | CI/CD Testing
1
QA Testing portfolio showcasing expertise in Manual and Automation Testing. Covered adhoc, smoke, regression, API testing, Cypress, Playwright, Storybook Component Testing, PactFlow, React applications, and CI/CD integration using GitHub Actions and GitLab CI/CD to ensure high-quality and reliable software releases.
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Developed a Storybook-based component testing solution for React applications, ensuring reliable UI validation for reusable components. Automated test execution through GitHub Actions and GitLab CI/CD pipelines to support faster, more stable releases.
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Performed regression, functional, and smoke testing to ensure application stability after releases and bug fixes, helping deliver reliable and high-quality software.
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Quality Intelligence Hub is a concept web application designed to transform fragmented CI/CD and automated testing data into a single, actionable quality dashboard. I designed the experience around a common engineering challenge: test results are often distributed across CI/CD pipelines and multiple testing frameworks, making it difficult for QA and engineering teams to quickly understand release readiness. The dashboard brings together test execution metrics, pass/fail trends, release confidence, risk levels, failure intelligence, root-cause indicators, and test-suite performance in one interface. The goal was to move beyond simply displaying test results and create an experience that helps teams answer three questions quickly: Are we safe to release? What is failing? What needs attention first?
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(3)
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