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Nirupama Zambre

Nirupama Zambre

Results-driven Technical Program Manager

Talent
FremontMember since September 30, 2026
Agile/ScrumGemini Enterprise AI AgentsClaude AIGitHub CopilotAWS Machine LearningUIPath RPAJavaC#SQLJIRA
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Agile/ScrumGemini Enterprise AI AgentsClaude AIGitHub CopilotAWS Machine Learning

About

Results-driven Technical Program Manager with 12+ years of experience leading complex, large-scale enterprise modernization, automation, and AI-driven initiatives across healthcare, insurance, and manufacturing sectors. Proven track record managing multi-million-dollar technical programs, leading cross-functional engineering teams, and reducing operational expenditure.

Experience

Lead Technical Program Manager - EyeMed Vision Care (Luxottica) - Fremont, CA

(2021-06)

Promoted from Software Developer (Jan 2017 – Jun 2021).

  • Enterprise Modernization: Spearheaded a $32M enterprise-wide core platform migration from legacy AS400 to Facets for 92M+ members, managing end-to-end SDLC, cross-functional dependencies, and executive reporting.
  • Automation RPA & ROI: Led cross-functional onshore/offshore teams in deploying UIPath RPA solutions for claims audits and Medicare processing, improving data accuracy by 12% and driving $28M+ in annual cost savings.
  • AI & Developer Velocity: Accelerated legacy stack modernization by utilizing Claude AI and GitHub Copilot to lift-and-shift legacy .NET systems to Angular, reducing development cycles from months to weeks.
  • AI Agents: Define AI use cases partnering with business units with clear scope/output, use case intake criteria, prioritization, value measurement dashboards.
  • Generative AI Deployment: Integrated Gemini Enterprise AI agents into daily engineering workflows to automate test data generation and resolve production JIRA tickets faster.
  • System Performance & Reliability: Directed an Agile/Scrum optimization program for core membership ingestion pipelines, increasing file processing speeds by 65% and reducing support tickets by 40%.
  • Operational Monitoring: Engineered automated observability guardrails using Splunk alert triggers, eliminating manual weekend/holiday system checks and reducing MTTR for critical production issues.
  • Stakeholder & Delivery Leadership: Translated high-level business vision into technical epics, system architecture specifications, and SOWs while managing vendor SLAs and leading daily scrums across engineering and QA.

Software Developer - EyeMed Vision Care (Luxottica) - Fremont, CA

(2014-06 - 2017-01)

  • Architected and developed customer-facing web applications for member file approvals, successfully migrating core services from C# .NET desktop applications to Java web architectures.
  • Led a team of software engineers in delivering feature enhancements, system fixes, and performance tuning across .NET and SQL Server stacks.

Technical Lead - TechSolve (Ohio NIST MEP) - Cincinnati, OH

(2012-05 - 2014-06)

  • DoD Smart Manufacturing Initiative: Managed software delivery for a $12.5M Department of Defense initiative, directing the development of a Java-based real-time data aggregation pipeline using the MTConnect protocol.
  • Cloud App Delivery: Delivered ShopViz, a cloud-based IoT application for small/medium manufacturers enabling 24/7 machine productivity tracking and operational telemetry.
  • Edge Monitoring Systems: Designed and deployed MiniViz (Windows edge app) to capture real-time data streams, helping facility leadership identify operational bottlenecks and optimize machine efficiency.

Senior Software Engineer - PatientPoint

(2010-08 - 2012-05)

  • Built web applications and real-time business intelligence reporting suites supporting customer management tools across 150K+ healthcare provider relationships.

Software Engineer - Global Quality Corporation

(2008-01 - 2010-09)

  • Engineered web portals, SharePoint web parts, and automation utilities for enterprise clients in logistics, government, finance, and manufacturing.

Data Scientist / Research Assistant - Ohio Department of Transportation (ODOT)

(2005-09 - 2007-12)

  • Developed a Gen AI stochastic Markov chain model evaluating 10+ years of historical inspection data to predict degradation rates across 45,000+ bridges, directly optimizing state budget allocation.

Education

MS - Electrical and Computer Engineering - University of Cincinnati

BS - Electrical Engineering - Government College of Engineering, Pune University, India

Skills

Results-driven Technical Program Manager

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