Rigdha A.

Principal Engineering Manager @ Microsoft. AI-Driven Workflow Transformation | Cloud Infrastructure & Systems Validation

Redmond, Washington, United States

About

I enjoy turning ambiguous, high impact problems into reliable systems, clear execution plans, and measurable business outcomes. Today, I’m transforming enterprise workflows with agentic AI solutions, focusing on AI governance, orchestration, human in the loop controls, and scalable adoption. I bring enterprise-scale engineering leadership across cloud infrastructure, distributed systems, automation, production reliability, and AI-enabled platform transformation.

Experience

  • Microsoft (11 yrs)
    • Principal Software Engineering Manager
      Mar 2022 - Present · 4 yrs 4 mos

      Own end-to-end lab and cloud validation systems serving first-party and third-party customers, accelerating time to market for critical cloud deployments including frontier GPUs, hardware platforms, firmware security patches, and software agents. Lead predictive AI, generative AI, and agentic workflow initiatives that improve validation planning, automate diagnostics, reduce manual triage, and increase confidence in release readiness. Drive cross-functional execution across cloud hardware, firmware, software, and customer engineering teams to improve reliability, operational efficiency, and deployment velocity.

    • Senior Software Engineer - Azure Cloud Infra
      Feb 2020 - Mar 2022 · 2 yrs 2 mos

      Working on a solution to flight and validate new firmwares from what is firmware to researching potential solutions, creating POCs, working with multiple teams/orgs. Solving scale issues working with 3 different layers of Azure stack, building a system from ground up.

    • Senior Software Engineer - Azure Performance
      Jun 2019 - Feb 2020 · 9 mos

      Designed and implemented the authoring system, API layer, templating solution for performance and reliability validation platform used by 30+ teams. I work with partner teams regularly to help them debug complex setup, understand requirements, define API contracts, get our features prioritized by other teams, integrate new features for azure host and guest. Tools and Languages: API Management Service, Logic Apps, .NET Core, etc.

  • Software Engineer at Computer Modelling Group Ltd.
    May 2012 - Jun 2015 · 3 yrs 2 mos

    Designed and implemented the platform to validate a multi-user, cross platform reservoir simulation product. Replaced the previously hard coded test tools with a generic validation framework that allowed QA engineers to specify tests using business language in FitNesse to validate scenarios and prevent regressions. Tools and Languages: .NET, FitNesse, TeamCity, SQL, XML, XSD,