Software Developer looking for out of the box opportunities.
I am currently a Computer Science Graduate Student at Indiana University with proficiency in Linux Management tools/softwares, web services and applied machine learning techniques.
Click here for my complete resume.
I am currently the TA Lead for Inforamation Infrastructure and Python courses.My responsibilities include designing course structure, conducting labs, grading assignments and clarifying student's doubts.
Currently working with Prof. Feng Quain on head mounted displays for 360 degree video streaming.My responsibilities include developing machine learning models for predicting head movements,conducting user study to collect traces of user activities while watching a VR video and utilizing these traces to train the models.
I worked on a data sanitisation tool where I developed a cloud based data optimization utility tool that discovers and deletes data that is no longer in use. I implemented RESTful services using multi-node MVC architecture approach with GraphQL endpoint.I also developed the client side module that secure deletes data on any operating system when requested by user and reports the status to the API server.
I worked for a Canada based client where my major job responsibilities included developing and executing test scripts for functional testing.I also worked in automation testing using selenium and java. My other responsibilities included automating monthly budget tracker, developing reports on forecasting, communicating with the onshore clients to fulfill business requirements and develop business models.
I worked in the Information Systems Department where my team was responsible for developing a tool that analyze lube fuel ratio, sales growth and average sales of lubes and generate performance metric reports for business stakeholders.I designed and implemented jsp pages to fetch data. I also worked on optimizing and tuning SQL Queries to improve performance and response time.
This software recognizes real time facial expressions which are universally expressed and recognized across all cultures.Developed a deep Convolutional network architecture that extracts facial features of the user from a live video application and instantly returns their emotion.
Developed a model that predicts stock market trends from twitter feeds. Our LSTM+CNN and SVM models uses human sentiment to predict stock behaviors for a any set of companies.
Worried about your mobile's battery usage? We've got you covered! This project gives a comparative analysis of energy usage and data consumption of a mobile application client and a web browser client for the same service and suggest methods to optimize mobile app performance.We have used AT&T's ARO tool for our study.Our study was performed over Facebook, Youtube and Amazon.
This is an image stitching tool that lets you create your own panoramic image.This tool performs feature matching ,warping and blending over multiple overlapping images and produces a sweeping landscape!
Built XGBoost Logistic Regression and Random Forest models to predict whether a driver will initiate an auto insurance claim for the next year.
This is an UI-based easy to use tool that fetches real time monitoring results of instances and their network activities from any open-source cloud computing platform.Currently our tool works over Openstack.
Developed an AI gaming platform where ML Bots enter in a creative programming challenge.Participants design bots to compete in a specially designed arcade and board games. The Platform supports C/C++/Python/Java bots.
This is a web-based application designed for tour operators.This software manages cruise information for various destinations,their respective schedules and also allows tourists to make reservations accordingly.
I have been an active member of Women in Computing at IEEE Student Branch since past 4 years.
I listen to all kinds of music!Dolphin is my spirit animal.
Big Harry Potter fan!
Love travelling and aspire to be a nature photographer.