Deep Barot is the Founder and CEO of ContextQA, the only AI testing platform that understands context. He brings decades of experience across DevOps, full-stack engineering, cloud systems, and large-scale platform development. Before starting ContextQA, he led engineering initiatives in fintech, healthcare, IoT, and enterprise software, building automation frameworks, CI/CD pipelines, cloud deployments, and mission-critical systems for companies like Credit Acceptance, GE, Guardhat, and Perficient. His work has always focused on solving real engineering bottlenecks through automation and scalable architectures. At ContextQA, he applies that expertise to eliminate flaky tests, accelerate releases, and help teams achieve reliable, predictable quality with an AI-powered no-code, low-code, and pro-code testing platform. Deep believes AI should empower engineers and make software delivery faster, stable, and trust-driven.
Blog
Top 9 Benefits of AI in eCommerce

Top 9 Benefits of AI in eCommerce

AI is now embedded across modern eCommerce platforms, from search and recommendations to pricing and customer support. For development and QA teams, this creates a different challenge: not understanding what these systems do, but reliably building, testing, and maintaining them as they change. AI-driven features introduce dynamic behaviour that is harder to predict and harder […]

Blog

Intelligent Automation Benefits, or How AI Improves Testing Speed and Accuracy

Intelligent automation blends traditional automation with AI-driven decision steps. For software teams, this means faster checks, clearer patterns and less time spent on tedious work. As applications grow, manual testing alone cannot keep up. Developers and QA testers turn to automated workflows that collect data, run tests and detect issues without constant supervision. ContextQA supports […]