19+ years driving engineering excellence, test automation modernization, Agile transformation, and enterprise-wide quality strategy — most recently architecting Generative AI-powered self-healing test automation and AI-assisted engineering governance across 14 Agile delivery squads.
Currently driving enterprise quality strategy across 14 Agile squads at TCS, partnering with Engineering, Product, BA and DevOps teams on quality governance, release assurance and engineering standards. Combines deep expertise in Enterprise Test Architecture, Intelligent Test Automation, AI/Generative AI, Engineering Governance and Agile Delivery with an MBA in Business Analytics and advanced specialization in AI & ML — enabling technology organizations to modernize quality engineering and accelerate digital transformation.
Azure OpenAI, GPT-4o, Claude, LangChain, RAG, LLM Testing & Evaluation (hallucination, accuracy, prompt security), Prompt Engineering, Qdrant, ML, NLP, CNN, RNN, LSTM, Time-Series Forecasting
Selenium, Playwright, Cypress, Ranorex, Appium, UFT/QTP, SpecFlow, Cucumber, Postman, SoapUI, JMeter
Python, C#, Java, JavaScript, PHP
Microsoft Azure, AWS, Google Cloud Platform, Jenkins, TeamCity, GitHub, Git, CI/CD
Jira, Zephyr, Confluence, HP ALM
API/UI/Functional/Regression/Integration/Mobile Testing, Test Data Management, Self-Healing Automation, AI-Assisted Testing, Test Orchestration, Quality Dashboards
This domain also hosts a working, end-to-end demonstration of the practices above: a real open-source e-commerce platform (Saleor — GraphQL API, Next.js storefront, React dashboard), run unmodified, with a complete quality engineering system built around it — test strategy, multi-layer automation, AI-driven test generation from Jira, LLM evaluation for an embedded RAG chatbot, security and performance gates, and release readiness reporting.