Keerti Kadadevarmath

A competent professional with nearly 7.6 years of successful experience in managing, planning and executing IT Support, System Engineering and Software Development & Operations .Leverages key skills on various technologies and procedures such as API Integration & Agile Programming. Possess experience in Ruby on Rails of 4 years and React JS for 2.5 years. Proven success in professional excellence with achievement being recognized as "Star Performer" during tenure at Tata Consultancy Services and "Woman of the year" at Cognizant Technology Solutions.

Bachelor's in engineering (Instrumentation Technology), Bhoomaraddi College of Engineering and Technology, Visveswariah Institute of Technology, Belgaum, 2011, 8.66, Chetan-Pre-University College, 2007, Hubli, St. Michael's High School, 2005, Hubli

• Won the Star Performer Award for the automation of WSUS tool process at TCS Pte Limited. Awarded by client Royal Haskonings, Netherlands
• Ranked among top 5 during Bachelor of Engineering (Academic)

Cloud Project: Sending Email using AWS Cloud, 04/2016, Java, AWS (Amazon Web Services), Developed a web application which is highly extensible, scalable and also a very portable database and deployed the application to AWS cloud using services like RDS, Beanstalk and Lambda

Mobile Project: Tagalong, 06/2016, IOS Swift, XCode, This app was specifically designed and developed for the people who are new to any country. The main advantage of this app is for the people who want to explore new places in the country, along with new restaurants to dine and exploring the places to stay nearby. This application is mainly used by 3 types of people: People travelling in a group, People looking for a companion, Individual. Designed and Developed Application using Swift

Project: Face-Un locker (Internet of Things IOT), 01/2017, Internet of Things IOT, Face Un-locker is a solution that using innovative artificial technologies for detecting faces and verifying faces which are provided by Microsoft incorporate with IOT devices such as camera, motion sensor, LCD screen to provide a solution for Smart House with auto unlock doors or even class checking attendant system as well. There are 2 APIs that the app uses for verification faces. Firstly, it uses Face detection API to get the face-id which represents for the images, it is only valid for a limited amount of time. Then, it takes 2 Face-IDs for the Verification API for the comparison of 2 faces, which are expected to return a value called confidence value, based on that it makes decisions. There is an iOS app that helps users to make decisions in case the MS API could not be able to return a high enough confidence value which is set to be under 0.7 (70 percent). It uses an open-source library in purpose of communicating with MQTT Server. In python project, we found out a few more libs supporting our tasks which are boto (uploading images to AWS S3) and ConfigParse (parsing configuration parameter that brings flexibility).

• Received "Start Performer" award during my tenure at Tata Consultancy Services by client Royal Haskonings .
• Received "Woman of the year" award during my tenure at Cognizant Technology Solutions ,Singapore .
• Hosted a company Cognizant Technology Solutions annual event at Singapore and earned gems for volunteer work .
• Received prizes from company for winning technical quiz and dance competition.