Abhinav Kumar

Architected and deployed a comprehensive automation framework from scratch using Pytest and Selenium, integrated into Azure Pipelines CI/CD, significantly reducing manual testing effort by 30% and accelerating release cycles for key digital marketing platforms (MNG Health).

Led end-to-end regression, functional, and performance testing for critical applications, identifying and resolving over 150 defects across QA and production environments, ensuring high-quality software delivery.

Optimized and maintained automated test scripts for regression testing (Python, Appium), improving test suite reliability by 20% and reducing execution time by 10% for AI-based cyber defense solutions (Tenable.io).

Streamlined QA processes by performing detailed failure analysis and providing prompt stakeholder updates, contributing to a 15% faster resolution of critical issues.

Developed and maintained comprehensive documentation and conducted knowledge transfer sessions, enhancing team efficiency and standardizing framework analysis across projects.

Managed and optimized chemical API production processes, ensuring strict adherence to quality standards and achieving a 98% on-time production rate.

Monitored and analyzed key performance indicators (KPIs) for multiple production lines, identifying and implementing process improvements that increased overall efficiency by 5%.

Collaborated with cross-functional teams to troubleshoot operational issues, resolving critical production bottlenecks within 24 hours to minimize downtime.