Working on Android Architecture components, part of the Android UI toolkit team.

Currently working on:

* Baseline Profiles (https://android-developers.googleblog.com/2022/01/improving-app-performance-with-baseline.html)

* Jetpack Macrobenchmarks (https://developer.android.com/studio/profile/macrobenchmark-intro), Baseline Profiles and related Kotlin Multiplatform Libraries.

* WorkManager (https://developer.android.com/topic/libraries/architecture/workmanager), which is an Architecture component introduced at Google I/O 2018 that makes background processing easy on Android.

* App Startup (https://developer.android.com/topic/libraries/app-startup) which provides a straightforward, performant way to initialize components at application startup.

Previously, worked on the Federated identity team. Important projects include:

* One tap sign up and sign in for the Web (https://developers.google.com/identity/one-tap/web/overview) at Chrome Dev Summit 2017.

* Firebase Auth SDK on Android (announced at Google I/O 2016).

Worked on Apple’s Indoor Maps initiative. Shipped the back-end infrastructure that handles storage and processing of Geospatial data to enable the Indoor Core Location SDK.

I worked on the Amazon App Store for Android team. My team shipped Amazon App Store for Android's In-App Purchasing SDK. (http://bit.ly/IeEL30). I designed and developed the Amazon In-App Purchasing SDK Tester; Provides 3P developers a sandbox where they can test their application that uses the In-App Purchasing SDK.

Worked on the design and development of the Amazon Availability SDK. This SDK is used by other Amazon teams for delivering rich client metrics in a secure, optimal and battery efficient way. I have also worked on some large scale data processing of these metrics with Amazon Elastic MapReduce.

Also worked on Amazon's Appstore client, which is built using hybrid technologies (Dalvik + HTML, JS and CSS). Specific focus on performance and core client architecture.

Focused on the design and development of high performance and scalable RESTful web services. Worked on the design and development of the ArcGIS Server RESTful API’s which has formed the basis for an industry standard for geo-spatial services.

Design and development of scalable, multi-tenant web services on Google App Engine, for ESRI’s cloud platform (arcgis.com).

Experience in working on the client side, with the Android Platform and JavaScript / HTML.

I worked on the design and development of algorithms that could perform Multi-scale image texture analysis for classification of high / medium resolution satellite imagery.

I worked on the development of LANDISVIEW; an open source framework for visualization of 8-bit ERDAS rasters. I developed LANDISLINK that helped in the integration of LANDIS-II and LANDISVIEW; which helped in the analysis of forest stands.

I also worked on the development of SPBSilvix, which was being developed by the Knowledge Engineering Lab at Texas A&M University, for analyzing southern pine beetle outbreak characteristics.