Kartik bg
[AI QA Engineer | LLM & Generative AI Testing | RAG & Hallucination Testing | Selenium Java | API Testing
Bengaluru
1+ year of work experience
Mar 20251 yr 8 mosPresent
Bengaluru
Mar 20251 yr 8 mosPresent
banglore
AI QA Engineer | AI/LLM Testing | Automation amp; API Testing• Perform end-to-end testing of AI-powered applications, including LLM platforms, RAG engines, chatbots, AI voice agents, computer vision, and recommendation systems.• LLM amp; Generative AI Testing: Validate accuracy, relevance, consistency, context retention, and response quality. Identify hallucinations, unsupported answers, and prompt-related vulnerabilities.• RAG Testing: Validate document ingestion, retrieval accuracy, context relevance, grounding, and generated responses. Test knowledge-base isolation and cross-tenant data leakage.• Prompt Engineering amp; Security: Test prompt variations, ambiguous queries, negative scenarios, prompt injection, and adversarial inputs.• AI Voice Agent Testing: Validate inbound/outbound calls, speech recognition, interruptions, silence handling, long inputs, call termination, response delays, and timezone accuracy.• Computer Vision amp; AI Recommendations: Test face scanning, partial-face detection, image conditions, recommendation logic, mobile compatibility, and Binah.ai results integration.• AI Document Generation: Validate AI-generated documentation, code, and diagrams for accuracy, completeness, and consistency.• API Testing: Use Postman to validate REST APIs, status codes, JSON responses, authentication, negative scenarios, and error handling.• Automation Testing: Develop Selenium WebDriver scripts using Java, TestNG, Maven, and Page Object Model (POM). Work with Cucumber, GitHub, and CI/CD workflows where applicable.• Execute functional, integration, smoke, regression, exploratory, and mobile testing. Create detailed test cases, report defects in JIRA, and collaborate with developers to improve product quality.Key Focus Areas: Generative AI, LLM Evaluation, RAG, Hallucination Detection, Prompt Injection Testing, AI Chatbots, Voice AI, Computer Vision, Selenium Automation, REST API Testing, and Quality Engineering.
20251 yr 10 mosPresent
- Designed and executed 500+ test cases covering functional, regression, smoke, sanity, and exploratory testing for AI-
based web and mobile platforms
- Validated AI-generated outputs for accuracy, hallucination rate, and relevance; conducted prompt injection and boundary
testing to prevent AI system misuse
- Performed REST API testing via Postman across 25+ endpoints — JWT auth, JSON schema validation, error handling,
and latency analysis
- Executed SQL-based backend data validation ensuring UI-to-database consistency after critical transactions
- Tested 6 live products: Face-ing, sourcebytes.ai, blueprints.ai, brandlove.ai, Nakasha, and Toyota dealer application
- Managed 200+ defects in JIRA; prepared test plans, RTM, and test summary reports for stakeholder review and
production sign-off
Jun 20242 mosJul 2024
- Conducted structured manual testing across game titles — gameplay, UI, performance, and edge-case scenarios; tracked 50+ defects before beta launch
- Prepared QA reports summarizing test results, bug density, and resolution timelines for senior stakeholders
Kartik’s AI Stack
Education
Bachelor of Engineering - BE, Mechanical Engineering
MVJ College of Engineering, Bangalore, India
20194 yrs2023
Diploma in Engineering
RNS Polytechnic
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