Work Experience
Software dev at UST
Feb 2020 - Feb 2022
I was responsible for creating, testing and deploying various UI elements as part of a dashboard for a leading credit scoring company based out of the US using Angular 9. .I improved application performance by reducing the number of API calls using Observables(RxJs) when loading child UI elements on the webpage thereby reducing the load time .I was also able to Enhance the look and feel of the internal dashboard for viewing user issue categorization using Highcharts.Js by incorporating interactive donut charts, bar charts , line charts and other graphs. .I created dynamic components by hooking into the various life cycle hooks like the ng-Onchanges lifecycle hook. . I worte and developed unit test cases for an internal dashboard tool by integrating tools like Karma and Jasmine, thereby increasing code coverage in SonarQube on the CI/CD pipeline. .
Robotics Software Engineer & Intern
Jan 2019 - Nov 2019
I was responsible for setup and mod of the ROS Kinetic framework
to enable a robotic mobile base to optimize and perform
autonomous navigation simulations with RVIZ and Gazebo. I
further implemented a UI to control a mobile base from the
browser using roslibjs thus providing a more user-friendly
interface. Apart from this I dawned many hats working in the
electrical team and hardware teams as well. I also helped deploy
a service robot in a banking environment.
I aslo Wrote
Scalable code using Raspberry Pi ,SSC 32 motor controller and
arduino Mega for an animatronic head named Vyom mitra that can
perform basic speech synthesis to synthesise various expressions
for clients like the Indian Space Research Organization (ISRO).
It was covered in both
print
and
visual media. Definetely not a dull moment in my life!. You can read more
about it
here.
Software Engineering Intern (NLP) at TCS
May 2017 – Jun 2017 & May 2018 – Jun 2018 .
I explored and implemented various machine learning models and algorithms such as logistic regression, Linear regression, and support vector Machines to understand the most optimal algorithm for sentiment analysis on a dataset of tweets. I also worked on a document querying and classification system by using Doc2vec and GloVe word embedding models to classify a dataset of user manual documents.
