Mayank Saxena

Architected and implemented enterprise-scale Agentic AI testing framework enabling end-to-end LLM evaluation for production workflows. Built RAG evaluation systems and integrated LLM regression testing into CI/CD pipelines, improving accuracy by 25% and reducing hallucinations by 30%.

Owned QA strategy for large-scale SaaS platform, aligning quality initiatives with product roadmap. Scaled automation frameworks across web, mobile, and APIs, reducing regression cycle time by 40% through CI/CD-driven automation.

Led multi-project QA delivery for global enterprise clients and Fortune 500 programs. Designed and implemented end-to-end quality engineering strategies, built scalable automation frameworks, and established CI/CD pipelines for faster feedback and early defect detection.

Contributed to QA strategy and automation initiatives for enterprise digital platforms. Collaborated with cross-functional teams to ensure high-quality releases and strengthened test automation and validation practices within Agile teams.

Led end-to-end testing across SDLC including planning, execution, and defect management. Improved backend and database validation processes ensuring system reliability.

Performed functional, integration, and regression testing for financial systems. Supported release cycles and defect analysis.

Delivered QA services for enterprise applications. Collaborated with global teams for quality assurance and defect resolution.

Pursued a Bachelor of Technology in Computer Science Engineering.