Technical leader with 15+ years spanning Quality Engineering, AI Product/Program Management, and enterprise delivery governance across Tech, Aviation, Retail, and Financial Services. Currently drive AI-driven product strategy and delivery governance — owning roadmap decisions on Agentic AI initiatives, defining Definition-of-Ready and refinement standards for cross-functional teams, and making go/no-go calls on AI investments based on business-impact analysis. Architected and shipped a multi-agent orchestration system that reviews FSDs, design docs, and business requirements to flag dev-readiness gaps pre-sprint, cutting refinement overhead. Led a Java-to-Python BDD migration (1,200+ test cases, 25K+ lines) and upskilled 12 engineers into AI-augmented SDET roles, lifting velocity 40%. Active hiring manager since 2013, having built and scaled QA/SDET/AI-engineering organisations at Cognizant, UST, Air India, Cisco, and Coforge — including a 45-member global Quality Engineering org across 12 regions at Cisco and a 5-squad AI QA program at Coforge where I hold dual responsibility as AI Governance Manager. Track record includes 4,000+ automated test cases delivered at scale, a unified CI/CD program spanning 21 pipelines, and $48K in annual vendor cost savings through partner/budget strategy. Deep hands-on expertise in Selenium, Appium, Playwright, Python, and BDD/ATDD, paired with applied AI practice — self-healing test scripts, ML-based defect prediction, and NLP-driven test case generation. Translates engineering and AI-program rigour into measurable business outcomes: 20–80% reductions in regression effort, defect escape rates, and release cycle times, alongside AI-driven acceleration of delivery governance and sprint readiness.