Maneesh Tewani is a software engineer based in San Francisco with 11 years of industry experience spanning web, mobile, and backend systems. He has a proven track record at Google and Intel, and earlier built developer-focused training programs and university curricula around modern web frameworks. Skilled across Angular, Node.js, Android, and backend infrastructure, Maneesh has contributed to high-profile open-source projects including Firebase tooling and the Firebase JS/Flutter SDKs, improving transports, emulators, and Data Connect integrations. His work on IntelLabs’ NLP Architect demonstrates full-stack and NLP integration experience, from REST APIs to Angular demos. Known for bridging developer experience and production reliability, he brings both hands-on implementation and teaching experience to complex engineering problems. A less obvious strength is his history of shipping reproducible demos and tooling that helped translate research prototypes into conference-ready demos and production-ready libraries.
11 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Science, Freshman, Bachelor's degree, Computer Science, Freshman at Purdue University
Contributions:121 reviews, 74 commits, 117 PRs in 9 months
Contributions summary:Maneesh contributed significantly to the Firebase Javascript SDK, specifically the database functionality. Their work focused on implementing features related to transport mechanisms, including the addition of functions to force the use of WebSockets or long polling. They also fixed a bug related to `get()` and caching, and added features for the DataConnect product. The user demonstrated expertise in the database core and transport implementations.
🔥 A collection of Firebase plugins for Flutter apps.
Role in this project:
Back-end Developer
Contributions:34 reviews, 32 PRs, 141 pushes in 2 years 5 months
Contributions summary:Maneesh primarily focused on enhancing the Firebase Data Connect library for Flutter apps. Their work included making the `Serializer` required within a Firebase Data Connect context. The user also upgraded to the v1beta endpoint and subsequently to the v1 endpoint, suggesting involvement in the evolution of the API. In addition, the user added support for data types like `Timestamp` and `DateTime`. They also added the `x-firebase-client` header to the requests.
flutter-appsgooglefirebasedartflutter
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