Khubaib A.

AI & Agentic QA Engineer | LLM Validation | Manual & Automation

AI & Agentic QA Engineer helping teams ship reliable, trustworthy software, from LLM validation and AI agent testing to full-stack manual and automation QA across Web, API, and Mobile. 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐐𝐀 𝐓𝐞𝐬𝐭𝐞𝐫 🏆5+ 𝗬𝗲𝗮𝗿𝘀 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗶𝗻 𝐌𝐚𝐧𝐮𝐚𝐥 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐐𝐀 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 🛡️ 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 50+ 𝐐𝐀 (𝐖𝐞𝐛 & 𝐌𝐨𝐛𝐢𝐥𝐞) 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬, 𝐚𝐥𝐥 𝐰𝐢𝐭𝐡 𝐠𝐫𝐞𝐚𝐭 𝐜𝐥𝐢𝐞𝐧𝐭 𝐟𝐞𝐞𝐝𝐛𝐚𝐜𝐤 I’m a 𝐐𝐀 𝐬𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 𝐰𝐢𝐭𝐡 𝐨𝐯𝐞𝐫 5+ 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 in software testing, automation, mobile app testing, and API testing. I bridge the gap between traditional QA engineering and the unique challenges of testing AI systems, validating LLM outputs, testing agentic workflows, evaluating prompt behavior, and ensuring your AI product behaves correctly in the real world. ⚙️ 𝗪𝗵𝗮𝘁 𝗜 𝘁𝗲𝘀𝘁 & 𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗲: → AI & LLM Applications — output quality, hallucination detection, prompt regression, edge case behavior → Agentic Systems — multi-step agent workflows, tool-use reliability, decision-path testing → REST & GraphQL APIs — functional, contract, and security testing via Postman & Newman → Web Applications — cross-browser, regression, E2E, and exploratory testing → Mobile Applications — iOS & Android functional, usability, and compatibility testing → Manual Testing — test planning, test case design, defect lifecycle management → Automation Testing — building scalable test frameworks using Selenium, Playwright, Cypress 🛠 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: Playwright · Cypress · Postman · JIRA · TestRail · BrowserStack · LambdaTest · GitHub Actions · CI/CD pipelines · Python · JavaScript · Appium · Charles Proxy · n8n · Replit 🤖 𝗔𝗜-𝗦𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗤𝗔 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: LLM output validation · Prompt regression testing · Hallucination & bias detection · Agentic workflow testing · RAG pipeline QA · Chatbot & NLP testing · AI behavior documentation 📋 𝗠𝘆 𝗽𝗿𝗼𝗰𝗲𝘀𝘀: I start by understanding your product, users, and risk areas. I design a QA strategy aligned with your release cycle, integrate into your Agile/Scrum workflow, and deliver clear, actionable defect reports. For AI products, I build custom evaluation frameworks that go beyond functional testing to assess reliability, consistency, and safety of model outputs. 📌 𝗧𝘆𝗽𝗲𝘀 𝗼𝗳 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗜 𝘄𝗼𝗿𝗸 𝗼𝗻: SaaS platforms · AI-powered products · LLM chatbots & assistants · Mobile apps · E-commerce · FinTech · HealthTech · EdTech · REST & GraphQL APIs If you're building an AI product and need a QA engineer who actually understands how LLMs and agents behave, not just someone checking UI bugs, let's talk. Message me with your project details and I'll respond within 24 hours.