Pooja S.

Software Engineer

Bengaluru, Karnataka, India9 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Experienced in Mobile Device Management and Android development.
Led volunteer initiatives for child labor awareness.
Developed machine learning models for traffic sign detection.

Stackforce AI infers this person is a Full Stack Developer with expertise in Mobile Technology and Automotive Technology.

Contact

Skills

Core Skills

Mobile Device ManagementAndroidData CaptureElectric VehiclesSmart GridMachine Learning

Other Skills

APIsKNOX SDKConfigurationDeploymentMITM ProxyIOTImage ProcessingManagementMicrosoft ExcelMicrosoft WordLeadershipPowerPointCCore Javax86 Assembly

About

Working as Full Stack Developer with Dynamics 365 team at Microsoft.

Experience

9 yrs 7 mos

Total Experience

3 yrs 2 mos

Average Tenure

6 yrs

Current Experience

Microsoft

2 roles

Software Engineer 2

Promoted

Feb 2022 – Present · 4 yrs 3 mos

Software Engineer

May 2020 – Feb 2022 · 1 yr 9 mos

Cry - child rights and you

Lead Volunteer

Jan 2021 – Aug 2023 · 2 yrs 7 mos

Leading a team of 15 Volunteers for spreading awareness around Child Labour and fighting against it.Working to spread education amongst the vibrant kids of Salem, also worked as Covid warrior to help provide contacts as and when required.

Nutanix

Member Of Technical Staff

Jan 2020 – Apr 2020 · 3 mos · Bangalore

Samsung research

Software Engineer

Jun 2018 – Jan 2020 · 1 yr 7 mos

PROJECT: KNOX Framework- Mobile Device Management
WORK: Work at the framework level of Android where we develop and maintain Mobile Device Management APIs. These APIs belong to KNOX SDK of Samsung. We also solve third party issues.
KNOX is a very popular and globally recognized enterprise product of Samsung.
Worked on another solution Tachyon.
Tachyon helps you deploy Samsung Android smartphones and tablets in your organization. Quickly configure large numbers of Android devices with the settings, apps and data you specify.

Mobile Device ManagementAndroidAPIsKNOX SDK

Samsung research

Intern- Advanced R&D

Jan 2018 – May 2018 · 4 mos · Noida

Worked on a project related to MITM Proxy for capturing data by third party apps.

MITM ProxyData Capture

Project

2 roles

Smart Charging of electric vehicles in Grid to vehicle Network

Jan 2016 – Jan 2017 · 1 yr

The innovative concept of merging electric vehicles with the smart grid will definitely meet
the demand of the growing power consumption and together with the Internet technology
(IOT), one will be able to manage oneself, the requisite power. The electric vehicle is based on
the concept of bi-directional energy flow between the grid and the vehicle, thereby, constituting
V2G and G2V networks. The vehicle charging is based on Time-of Use (TOU) electricity
model and supplies energy back to the grid during peak hours.
This project involves optimal charging of Electric Vehicles. The objective is to propose two
possible smart charging algorithm features such as:-
(a) Centralised optimal charging operated by an aggregator
(b) Decentralized optimal charging managed by individual users

Electric VehiclesSmart GridIOT

Traffic Sign Detection and Classification using Machine learning

Jan 2015 – Jan 2016 · 1 yr

Detection of images done by training the linear support vector machine and using Histogram of oriented gradients method for images.
Classification done using convolutional neural networks.

Machine LearningImage Processing