Sowjanya Latha M.

Sowjanya Latha M.

Senior Software Engineer

Hyderabad , India

Experience: 7 Years

Sowjanya Latha

Hyderabad , India

Senior Software Engineer

USD / Year

  • Start Date / Notice Period end date:

7 Years

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About Me

Have 7.6 years of experience in Software Development and Design: Worked extensively in iOS Application Development using iOS SDK, SWIFT, Objective-C, C++, Core Data, Code Animations, Core Graphics ,SQL Lite, React Native. Developed backend REST Servi...

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Portfolio Projects

Description

BenefitWallet simplifies employee benefit administration, saving your organization time and money. BenefitWallet consolidates administration of all health accounts onto one common platform including HSA, HRA, FSA, Limited Purpose FSA, incentives and specialty accounts (including Dependent Care FSA, Adoption Accounts, Commuter Expense Reimbursement Account (CERA) and other customized solutions). Beyond account administration, BenefitWallet leverages data which already exists throughout your health benefit systems and vendors to deliver an integrated consumer health experience.

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Description

This application has a facility to run the feature morphing on Face & performs Face Detection and Recognition and in background performs analysis on advance features like region level morphing which is very much helpful for dermatologist to predict the result of it before it starts.

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Description

This software application provides the solution for certifying developed product at production site. It Analyzes the Sun spectral features, Acne and advance features like Melasma, Lip, and Subsurface damage on the facial images. Here the 16 bit level images are captured and in addition we capture two subsurface images to measure the skin damaged beneath the surface of skin.

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Description

In this app users will upload/capture their mobile captures through native interface and the app performs analysis process at back end(local/server) and provides report in 2-3 secs of time. Here we run the automatic face detection and feature detection algorithms on the Graphical Processing Unit to save the time at server side and use parallel threading at client side for better results. Application UI also designed like gamified controls. Here implemented multi devices sync and report generation functionality

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