Computer Science Project

Samip Kothari

(***) -***-**** *******.*****@*****.***

INTRODUCTION

Currently pursuing Master’s of Science in Computer Science. Interested in Software Engineering, Application Development and Web Development.

EDUCATION

Texas Tech University, Lubbock, TX Aug 2016-Present

• MS in Computer Science. GPA: 3.42/4

Nirma University, Ahmedabad, India Jul 2012 – May 2016

• B. Tech in Computer Science and Engineering. GPA: 7.54/10 SKILLS

• JAVA, C, C++, Ruby

• JavaScript/ES6, HTML

• Ruby on Rails, OpenStack, MEAN Stack.

• Ubuntu, Docker, Scrum, Singularity(LXC)

PAPER PUBLICATION

Akalanka M Dissanyaka, Roshan R Shetty, Samip Kothari “A review of MongoDB and Singularity Container in regard to HIPAA Regulations”,10th IEEE/ACM Conference on Utility and Cloud Computing (UCC 2017) PROFESSIONAL EXPERIENCE

Texas Tech University, Lubbock TX Sept 2017 – Present Research Assistant,

• Developing the Android Application which acts as a virtual guide.

• Using Go to build the backend services which helps in identification of various buildings.

• Using Augmented Reality (ArCore), Vision API etc to make the application more interactive.

• Using Docker to build the images of Golang and Tensorflow.

• Using Google Cloud Platform to run those images. Also learning AWS for deployment of containers.

• Technologies: Android, Go, Ar-core, Docker, Google Cloud. HUMAN EXPOSOME PROJECT June 2017-Present

Texas Tech University

• A web based application which provides the necessary API, data storage and data retrieval solution for the researchers to run the statistical models on the cluster.

• Work: Design HIPAA compliant API’s, Use Containers to provide the environment to run the application.

• Designing and developing database which stores data from different file formats and fetch them efficiently.

• Technologies: Python, MongoDB, Singularity Container, Docker, API’s, Jenkins PROJECTS

TRAVELER’S FOOD GUIDE Texas Tech University, Aug 2016- May 2017

• An Angular JS 2.0 Application which helps a tourist to find a special local cuisine or delicacy based on the current location.

• The early iteration of the application was built using Ruby on Rails.

• URL: https://spm-spring2017-7fbab.firebaseapp.com/

• Technologies: Angular JS 2.0, Ruby on Rails, OmniAuth, Firebase (CloudDB), Heroku, NoSQL. PRIVATE SOCIAL NETWORKING APPLICATION Nirma University, May 2015- Dec 2015

• Based on the “Slam Book” where two users can exchange bunch of personal Q&A’S via Email-Id

• Technologies: Android, Firebase (Cloud DB).

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