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Senior QA Consultant with 4+ years in Agentic AI, LLM Validation & Automation
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Assessing your cultural and operational fit
Agentic AI QA Specialist with 4+ years of experience designing and executing validation frameworks for autonomous agent systems, LLM-powered pipelines, and multi-agent workflows. Deep expertise in agentic AI testing including agent orchestration validation, tool-use verification, multi-step reasoning chain testing, prompt robustness, and failure mode analysis. Proficient in Python, Pytest, Selenium, Langfuse, SQL, and Azure OpenAI. Proven track record of building automated test pipelines, conducting AI trace analysis, detecting hallucinations, and ensuring production-grade reliability of intelligent, AI-driven platforms.
University of Allahabad
Bachelor of Commerce
N/A – June 30, 2021
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Cultural Fit Analysis
The candidate's experience is heavily focused on AI/ML QA, which aligns well with innovative and tech-forward environments. Their work on both insurance and banking chatbots, along with agentic AI systems, shows adaptability across different domains. However, the lack of diverse project types outside of AI/ML QA might indicate a narrower scope of experience compared to a broader QA consultant role. The certifications in Azure fundamentals and data engineering suggest a proactive approach to learning and skill development, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with developers and AI/data teams, suggesting good teamwork and communication skills. Their experience in creating detailed issue reports and enhancing observability indicates a structured and thorough approach to QA. The focus on improving test efficiency and QA productivity demonstrates a results-oriented mindset.