I’m a QA Engineer with hands-on experience in Manual Testing, Automation Testing, AI & Conversational Product Testing, Odoo ERP Testing, API Testing, Mobile Testing, and Performance Testing.

I have worked across Web, Mobile, ERP, FinTech, E-commerce, Telecom, Healthcare, and AI-driven platforms, with experience in testing complex business workflows and delivering stable, production-ready releases.

I work with Selenium, Cypress, Appium, Playwright, Postman, JMeter, SQL, Java, JavaScript, and Python, along with modern AI testing techniques including LLM Response Validation, Prompt Testing, Hallucination Detection, RAG Validation, and AI Agent Testing.

Jan 2025 – Aug 2026 | Mumbai, India

Worked in a service-based environment delivering multiple client projects across Odoo ERP, AI, Web, Mobile, FinTech, Healthcare, Telecom, and E-commerce domains.

• Performed end-to-end Odoo ERP Functional Testing across CRM, Lead Management, Site Visit, Sales, Management Approval, Accounts, Booking, and Payment modules.
• Conducted Requirement Analysis & Requirement Gathering with Business Analysts, Product Owners, and Developers.
• Prepared detailed Test Plans, Test Cases, Test Scenarios, and RTM.
• Performed Role-Based Access Control (RBAC) Testing across Admin, Sales Manager, Agent, and Accounts roles.
• Performed REST API & Integration Testing using Postman.
• Conducted SQL Database Validation for data integrity, field-level accuracy, and transaction consistency.
• Supported UAT and managed defects through the complete lifecycle in JIRA.

• Tested AI-based conversational products including AI Agents, Chatbots, and LLM-based workflows.
• Validated Response Accuracy, Intent Recognition, Contextual Understanding, and Conversational Flow Consistency.
• Performed LLM Response Validation, Prompt Testing, Hallucination Detection, RAG Validation, and Adversarial Testing.
• Identified model accuracy gaps and provided detailed testing feedback to AI/ML teams.
• Validated AI Workflow API Integrations using Postman and Python scripts.
• Tested API response schemas, authentication, and end-to-end data flow across AI-driven backend services.

• Built automation frameworks using Selenium for Web and Appium for Mobile Testing.
• Designed reusable Page Object Model (POM) based automation suites using Java and JavaScript.
• Performed testing across Web, Android, and iOS applications.
• Tested complex Audio/Video Communication Flows, including real-time calling, Bluetooth calling, WebRTC signaling, connection stability, and multi-device scenarios.
• Performed FinTech & Payment Workflow Testing, including payment gateways, transaction processing, KYC, and face verification.
• Tested Telecom workflows, including multi-number management, SIM-based routing, offline mode, call logs, SMS, and data synchronization.
• Performed Load & Performance Testing using JMeter.
• Integrated automated regression suites with Jenkins and GitHub Actions CI/CD pipelines.
• Performed SQL Database Testing for transaction records, user data, payment logs, and application state consistency.
• Worked in Agile/Scrum teams across multiple concurrent projects.

• Tested an internal Healthcare Application end-to-end, covering doctor profiles & ratings, appointment booking, medical report upload, and related healthcare workflows through Functional, Regression, Negative, and Integration Testing.
• Validated an AI Agent that allowed users to perform application workflows conversationally, including Registration, Doctor-related Queries, and Appointment Booking.
• Verified that actions completed through the AI Agent were accurately reflected in the underlying healthcare application, ensuring consistency between conversational interactions and application state.
• Tested Doctor-facing AI Chatbot workflows for Medical Report Evaluation by uploading medical reports and validating AI-generated evaluations against available Human/Reference Evaluations.
• Identified Missing, Incorrect, Unsupported, and Inconsistent Information in AI-generated medical report evaluations.
• Performed Human vs AI Output Comparison and AI response-quality validation, focusing on Relevance, Completeness, Consistency, Contextual Understanding, and Accuracy against Reference Evaluations.
• Validated complete end-to-end AI workflows across User Input → AI Understanding → Backend/Application Action → Final Application State, helping isolate defects across Application, Integration, and AI layers.
• Executed Positive, Negative, Ambiguous, Incomplete-input, Multi-turn Conversation, Context-retention, and Edge-case Scenarios across AI Agent and chatbot workflows.

• AI & LLM Testing: AI Agent Testing, Chatbot Testing, LLM Response Validation, Prompt Testing, Hallucination Detection, RAG Validation, Adversarial Testing, AI Model Accuracy Evaluation
• Odoo ERP Testing: Odoo CRM, Lead Management, Sales, Booking, Payment, RBAC, UAT, ERP Integration Testing
• Automation Testing: Selenium WebDriver, Cypress, Appium, Playwright, Python pytest, POM, BDD Cucumber, TestNG
• Manual Testing: Functional, Regression, Smoke, Sanity, Integration, Exploratory, UI, Cross-Browser, Mobile, Negative, UAT
• API Testing: Postman, REST Assured, Cypress API, REST API Automation, Schema Validation, Authentication Testing
• Performance Testing: JMeter, Load Testing, API Performance Testing
• Database Testing: SQL, MySQL, Joins, Subqueries, Data Integrity Validation
• Mobile Testing: Android, iOS, Appium, Real Device Testing
• Test Management: Test Planning, Test Cases, Test Scenarios, RTM, SDLC, STLC, Defect Lifecycle
• CI/CD & DevOps: Jenkins, GitHub Actions, Git, Bitbucket, Docker, Linux/Unix CLI, Azure DevOps

• Tested an Odoo ERP Real Estate Platform end-to-end across interconnected CRM, Lead, Booking, Payment, Accounts, and RBAC workflows.
• Delivered production-level AI/LLM Testing, including Prompt Validation, Hallucination Detection, RAG Validation, and Adversarial Testing.
• Increased Regression Coverage from 40% to 85% using Selenium and Appium.
• Automated 500+ Test Cases across Web, Mobile, and API layers.
• Reduced Regression Execution Time by 90% through automation.
• Reduced Manual Testing Effort by 75% using CI/CD-integrated automation frameworks.
• Reduced Post-Release Defect Escape Rate by 40% through proactive edge-case testing.
• Improved payment and communication API Performance by 25% through targeted JMeter load testing.
• 🏆 Ranked #3 in Cypress Automation Project at Masai School.

The following projects were completed during my SDET training at Masai School (Jun 2024 – Dec 2024), where I gained hands-on experience in Manual Testing, Test Automation, Test Case Design, and complete STLC workflows.

• Developed this project as part of my SDET Automation Training at Masai School.
• Built an end-to-end automation framework using Cypress with JavaScript.
• Automated major workflows including User Registration, Login, Product Search, Cart Management, and Checkout.
• Implemented Page Object Model (POM) to create reusable and maintainable test scripts.
• Designed and executed automated test scenarios covering positive, negative, and end-to-end user flows.
• Gained practical experience in building and maintaining a structured automation framework.

• Completed this project during my SDET training at Masai School to gain hands-on experience in complete Manual Testing workflows.
• Performed Functional, Exploratory, UI, and Negative Testing on the Adidas demo website.
• Prepared a detailed Test Plan, Test Scenarios, and Test Cases based on application requirements and feature exploration.
• Tested major workflows including Registration, Login, Product Search, Navigation, Cart, and Checkout.
• Identified and documented functional and usability defects with clear reproduction steps.
• Followed the complete STLC process from requirement understanding and test design to execution and defect reporting.

SAM Global University | 2023 – 2026

ACMT Group of Colleges | 2020 – 2023

Jun 2024 – Dec 2024

• Built Cypress-based Automation Frameworks from scratch using POM and BDD Cucumber.
• Performed API Automation Testing using Cypress and Python pytest.
• Worked in Linux/Unix environments and executed test suites through CLI.
• Designed Test Scenarios, RTM, and complete STLC execution cycles.
• Logged and managed defects using JIRA.
• 🏆 Ranked #3 in Automation Project across the cohort.

I’m currently focused on advancing my expertise in AI Quality Engineering, LLM Testing, Agentic AI Testing, RAG Validation, Web & Mobile Automation, API Automation, and CI/CD.

My goal is to combine strong Software Quality Engineering practices with modern AI-driven testing and intelligent automation to build reliable and scalable products.

📧 Email: kbeg461@gmail.com

💼 LinkedIn: linkedin.com/in/kaif-beg

"Quality isn't just about finding bugs — it's about building confidence in every release."

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