December, 2017 - May 2018

• Developed an Autonomous Race Car in collaboration with Dr. Renato Mancuso, with an objective to train a model that can provide coarse grained localization without GPS, to compensate mainly for loss of localization or to detect spoofing

• Examined different approaches to develop new algorithms for Computer Vision involved in Autonomous Vehicles, to address the current safety concerns

February, 2018 - May, 2018

Developed a machine learning program to identify unreliable news based on its content. Achieved an accuracy of 94.53% using a Long Short-Term Memory (LSTM) model.

February, 2018 - April, 2018

• Built an Open Service Broker for the Dataverse API on the Massachusetts Open Cloud (MOC) to enable Big Data Analytics applications on OpenShift environment to consume data from Dataverse. Collaborated with people from RedHat, MOC and the Dataverse team at Harvard University to achieve the goals of this ambitious project

• What our service broker is essentially attempting to replace is the world of opening a service ticket for someone to send you a user ID and password with which you can connect to some system and then you put those user ID and password into some config file that will let your application connect. That's the old school way of connecting your application to a system and our service broker is trying to provide a standardized way to do that

• In our case, we have taken the OpenShift and the Dataverse and provided a connection between the two that helps automate the process I described above

February, 2018 - March, 2018

Programmed an algorithm using a Faster R-CNN model to successfully identify and locate 90% of the objects in a given image, without sacrificing the speed of detection.

February, 2018

• Built a web application using JavaScript, HTML5 and CSS for better visualizing, managing and analyzing a complex network of nodes within a large dataset

• Won 2nd Place at MIT CAVE Lab Hackathon 2018. Awarded for the originality and practicality of the application

November, 2017

• Developed a 3-D gesture controlled game in 12 hours at HackWITus 2017 using Unity Game Engine and Myo armband

• Configured the Myo armband to move and attack the AI bots using different hand gestures

• Programmed the AI bots to constantly search for the player to attack using Predictive Modeling and Pathfinding Algorithms

October, 2017 - November, 2017

• Developed an Android application for social networking using Google’s Firebase and Android Studio, to address the need for a new platform for local events and advertisements

• Used Open Data to display valuable information to the users about the neighborhood. Sorted the events according to the preference of the users for better user retention

October, 2017

• Developed a web application at BostonHacks Fall 2017, which successfully detects and recognizes a person's face and displays information about the person from the database

• Integrated the OpenCV library in the back-end of our website which detects the face using Haar Cascade Classifier, and recognizes the face using the Eigenfaces Algorithm. The website was developed using HTML, Django and MySQL

August, 2016 - February, 2017

• Implemented a project which continuously monitors a patient-at-home’s pulse rate and temperature, and alerts the nearby emergency services using the GSM module

• Implemented an RFID reader which would read the unique ID stored in each RFID card that is given to every patient

• Developed a website using PHP, CSS and MySQL for ease in maintaining and updating a patient’s medical records