Vasudev Bv

Marsh McLennan

Plano, TX, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Present

@Marsh McLennan

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EDUCATION

N/A

National Institute of Management

EMBA, Software Management

SKILLS

SdlcTest ConsultingUser Acceptance TestingQuality CenterSoftware Project ManagementSeleniumHp QtpOracleRequirements AnalysisRegression TestingSoftware DevelopmentHp Quality CenterPre-SalesTestingSoaTest StrategyTest PlanningTeam ManagementJava Enterprise EditionSystem TestingQtpSecurity TestingTest ManagementManual TestingAgile MethodologiesManagementSoftware Quality AssuranceProject EstimationCmmiRational Functional TesterProject ManagementTest AutomationWeb ServicesLoadrunnerQuality Assurance

ABOUT VASUDEV BV

Accomplished IT leader with over 20 years of experience across Risk Insurance, Healthcare Payers, and Hospitality sectors. Proven track record of leading large cross-functional teams from ideation to successful launch using agile methodologies. Expertise in driving technology innovation by integrating AI/ML and no-code/low-code platforms to deliver impactful business solutions that enhance growth and operational efficiency.Skilled in client management and navigating complex organizational dynamics across global regions including Asia, North America, and Europe. Experienced in establishing and scaling delivery centers, optimizing processes, and leading enterprise transformation initiatives that resulted in significant cost savings and business expansion.Currently serving as VP and Unqork Leader, managing engineering and architecture teams, spearheading AI-driven automation to streamline policy and placement management platforms adopted by thousands of users. Passionate about mentoring emerging leaders and fostering a culture of continuous improvement.My aspiration is to lead a global Verification & Test Automation Engineering organization at the VP level in a highly regulated, impact‑centric domain such as healthcare or financial services, where rigorous quality directly protects people and critical assets. I want to shape the next generation of AI‑enabled quality practices—combining engineering rigor, automation, and responsible use of AI—to build resilient, trustworthy platforms while developing the next wave of quality engineering leaders.

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