Viswanathan Munisamy is an engineering leader with 11+ years of experience building and shipping large-scale mobile and backend systems, currently leading Google Labs (opal.google) from Sunnyvale. He founded and scaled AI-driven App Quality at Google, launching a product adopted by 200K+ users and integrating Firebase Performance and Crashlytics into a unified architecture used by over a million apps. Deeply hands-on, he led the design and open-source implementation of Firebase Performance on both iOS and Android and made notable contributions to widely used repos like firebase-ios-sdk and firebase-android-sdk. Comfortable across native iOS, C/C++, and backend infrastructure, he excels at performance tuning, large-data design and turning product concepts into market-ready features. An active angel investor and advisor, he brings a founder’s mindset to engineering leadership and a track record of shipping tools that improve mobile quality at global scale.
11 years of coding experience
13 years of employment as a software developer
Petit Seminaire
Bachelor of Technology Computer Science, Bachelor of Technology Computer Science at Pondicherry Engineering College
Bachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at Pondicherry University
Contributions:320 reviews, 28 commits, 61 PRs in 1 year 8 months
Contributions summary:Viswanathan primarily focused on refactoring and improving the Firebase Performance Monitoring API. They added dependency injection to core components, specifically `FirebasePerfRegistrar` and `FirebasePerformance`, introducing modules and components for better maintainability. They also addressed code comments, unified constructors, and moved classes to new packages. Furthermore, the user enabled global custom attributes for network requests.
Contributions:368 reviews, 59 commits, 89 PRs in 2 years 7 months
Contributions summary:Viswanathan primarily contributed to the Firebase iOS SDK, specifically focusing on the FirebasePerformance module. Their work involved modifying and optimizing the device model identification within the GoogleDataTransport (GDT) library. They also added and updated features for the Firebase Performance SDK, including adding code to enable and disable features and integrating with other SDKs like FirebaseSessions. They also performed cleanup operations and fixed bugs related to event logging and remote configuration within FirebasePerformance.
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Viswanathan Munisamy - Engineering Team Lead, App Quality And AI at LINK