Vinitha Dhinakaran

I’m a Quality Engineer with 5.8+ years across Credit Risk, BFSI, and payments, focused on test automation, API validation, data testing, and AI-powered testing frameworks.

At PayPal, I built an AI-driven release automation platform in Python that reduced release cycle time from 45 minutes to under 2 minutes (93% improvement). I also architected a parser validation framework in Java validating 2,000+ automated test cases, cutting manual validation from 5 days to 8 hours (84% improvement).

I’ve delivered 90+ production releases across 7 credit product lines with zero P0/P1 incidents, owning end-to-end CI/CD pipeline execution, feature flag deployments, monitoring configuration, and production rollouts. For a major strategy release, I reviewed a 11,000+ line Java codebase and generated 47 structured test cases for multi-score risk decisioning.

Earlier at Cognizant, I designed a Cucumber BDD automation framework with Selenium and Java reaching 90% coverage and improving regression execution from 2 weeks to 2 days (80% time reduction). I take pride in high-quality outcomes—supporting a US regulatory compliance audit (CFPB) within my first month, and earning Phenom Award plus Top 1% peer recognition and a Beyond Expectations director-level rating.