Director – V&V | Quality Engineering Strategy & Architecture | AI-Assisted Automation | Enterprise Product Assurance
India
mailtohs@yahoo.com
I build Quality Engineering capabilities that help enterprise products scale with confidence. As a technology leader in Verification & Validation (V&V), I work at the intersection of engineering strategy, automation architecture, AI-assisted software engineering, and product assurance. My focus is on transforming quality from a testing activity into an integrated engineering capability that improves reliability, productivity, and release confidence. What I bring: • Engineering strategy & architecture — Scalable automation frameworks, reusable engineering assets, quality standards, and technical governance. • AI-powered quality engineering — Applying AI-assisted development, intelligent test automation, and emerging agentic approaches to the software quality lifecycle. • Automation at scale — Playwright-based UI, API, database, and end-to-end integration testing across complex enterprise systems. • Enterprise product assurance — Verification of interconnected applications, device workflows, integrations, and data flows, with experience spanning transportation and life sciences quality engineering. • Engineering leadership — Building team capabilities, strengthening engineering practices, and aligning technical execution with business and customer outcomes. Selected impact: Led the delivery of 5,000+ automated test cases. AI-assisted script development and review practices reduced measured development effort from 14 to 8.4 hours across 1,555 scripts - approximately 40% effort savings. I am particularly interested in building Quality Engineering Centers of Excellence (CoEs), evolving automation architecture, and integrating AI into engineering workflows with appropriate validation and human oversight. My philosophy is simple: thoughtful testing builds confidence, automation enables scale, engineering intelligence drives productivity, and disciplined validation builds trust.
Director - V & V
Cyient
AI-Assisted Quality Engineering at Scale
Domain: Transportation, Transit Ticketing & Payments. Description Led large-scale automation across an interconnected transit platform involving application, device, API, database, and integration workflows. Applied AI-assisted script development and reviews to improve engineering productivity and support maintainable automation. Key outcomes - 5,000+ automated test cases delivered. - Script-development effort reduced from 14 to 8.4 hours across 1,555 scripts, representing approximately 40% savings. - Ongoing focus on automation stability, failure analysis, and intelligent engineering workflows.
Quality Engineering for Regulated Life Sciences
Domain: Clinical Research, Pharmaceutical Systems & Pharmacovigilance Description: Designed a risk-based quality engineering approach for regulated life sciences applications, emphasizing functional accuracy, data integrity, requirements traceability, and reliable end-to-end workflows. Key focus areas - Clinical trial and clinical data workflows. - Pharmaceutical business rules and system integrations. - Adverse event processing and drug safety workflows. - Audit trails, electronic records, validation evidence, and controlled changes, including applicable 21 CFR Part 11 controls.
Exec.MBA
IIM Bengaluru
M.Sc Computer Science
Siddhartha College, Vijayawada
Attendee · Oct 24, 2026