At enGen Global, I contribute to quality strategy for Nexus AI, an enterprise platform combining knowledge graphs and RAG. My work includes evaluating retrieval, lineage, code-path traversal, and links to mainframe code, along with benchmark design, groundedness measurement, agent task testing, and release thresholds.
I lead quality engineering governance across healthcare technology programs and led an AI-adoption measurement pilot across five SDLC domains, capturing 2,573 submissions. Earlier, I reported 131,173 automated executions and 19,132 documented hours saved across the 2023 automation portfolio, and led a quality audit that improved defect-scheduling attainment from approximately 40% to 90%.
