Building Machine learning & Deep learning applications.Taking contract projects in Computer vision and Deep learning. Working on various Deep learning project: Object detection & segmentation, semantic & instance segmentation.

Top rated developer on it.https://play.google.com/store/apps/details?id=batman.android.addressbookhttps://play.google.com/store/apps/details?id=com.lock.appsMore than 1 million downloads

http://india.emc.com/security/rsa-via/rsa-via-access.htmContinued to work on the Android team from Passban. Implemented web-app for multi-factor authentication for the factors: password, location, token, RSA securID and integrated it with the android app to support strong authentication.Implemented speech recognition engine for digits and phrases.Implemented automated test driven suite for the android app.

Worked on the Android team.• Worked on the implementation of factors: face, voice, location, phrase, motion, color, token, RSA securID.• Implemented features related to data encryption, secure container, app-to-app encryption, OAuth 2.0 protocol on the android app. Bootstrapped and implemented the test environment for the android app.

Android Engineer

Core Java, JQuery , Apache Tomcat ,Velocity,Cassandra 1.07

Designed and implemented a robust face tracker by examining the geometrical relationship between facial components.Prepared technical reports, proposals to the funding agencies and conferences.Analyzed the IBM online handwriting recognition dataset. (https://cubs.buffalo.edu/people)

Designed and Developed Android applications:1. Guided video editing application featuring various templates to guide a user to click photos and integrated with Adobe PRE to create a polished video. 2. Collaborative Album visualized on a timeline and Google Maps