Senior Test Engineer / Test Lead

Seasoned QA professional with 9–12 years of experience in software testing and quality engineering, including 6–8 years specializing in AI/ML systems . Proven expertise in validating Agentic AI platforms built on LLMs, LangChain/LangGraph, CrewAI, and orchestration frameworks, with strong exposure to insurance workflows (claims, underwriting, policy servicing). Skilled in manual and automated testing , adversarial validation, bias/fairness checks, and compliance with AI ethics and data privacy.

Key Highlights

• AI/ML Testing : End-to-end validation of models (classification, regression, NLP, CV), prompt robustness, retrieval accuracy, hallucination reduction, and drift detection.
• Agentic AI Assurance : Testing autonomous agents, multi-agent workflows, reasoning paths, and RAG pipelines; ensuring safety, grounding, and reliability.
• Leadership & Governance : Led test teams, defined KPIs (precision, recall, F1-score, grounding %, task success rate), and established governance models for enterprise AI deployments.
• Technical Expertise : Python automation, API testing (REST/GraphQL), CI/CD (Jenkins, GitHub Actions, GitLab CI), cloud-native deployments (AWS, Azure, GCP), containerization (Docker, Kubernetes), observability tools (Prometheus, Grafana, ELK).
• Compliance & Risk : Bias/fairness testing, adversarial security validation, red-team exercises, guardrail validation, and SLA-driven defect closure.
• Collaboration : Partnered with data scientists, ML engineers, and DevOps teams to embed testing into the AI lifecycle; represented QA in client discussions with strategic insights.