Hareesh Sambangi.

Hareesh Sambangi.

Director – V&V | Quality Engineering Strategy & Architecture | AI-Assisted Automation | Enterprise Product Assurance


About

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.

Skills
Fare Collection & Payment Systems
Health Insurance
Healthcare Payer Systems
Pega Platform
Business Process Management (BPM)
Life Sciences
Pharmaceutical Systems
Pharmacovigilance & Drug Safety
Regulatory Compliance
Computer System Validation (CSV)
GxP Quality Systems
Data Integrity
Req. Traceability
Oracle Apps
Transit Ticketing System
Device Testing & Validation
Experience

Director - V & V

Cyient

Dec 2025 to Present
  • Lead Verification & Validation (V&V) for an enterprise transit ticketing and payment platform, covering application functionality, device workflows, APIs, databases, and system integrations.
  • Led delivery of 5,000+ automated test cases using Playwright and AI-assisted engineering practices across UI, API, database, and end-to-end integration testing.
  • Build and evolve Quality Engineering CoE capabilities through automation architecture, reusable frameworks, engineering standards, technical governance, and knowledge sharing.
  • Drive the next phase of AI-enabled engineering, focusing on intelligent test development, automation maintainability, failure analysis, and reliable CI/CD execution with human oversight.
Projects

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.

Playwright
TypeScript
SQL
UI/API automation
device testing
integration testing
Jenkins
CI/CD
AI-assisted development.

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.

Azure DevOps
Azure Test Plans
Playwright
Selenium
C#
SQL
Azure Pipelines
API testing.
Education

Exec.MBA

IIM Bengaluru

Aug 2018 to Jun 2019

M.Sc Computer Science

Siddhartha College, Vijayawada

Jul 2000 to Mar 2002