1. 2500 Avent Ferry Rd., Apt 205
Raleigh NC 27606
VI P U L K KA S H Y A P
https://www.linkedin.com/in/vipulkashyap111
(984) 215-8066
vkkashya@ncsu.edu
OBJECTIVE
Seeking full-time opportunities in the field of software development / machine learning to work with cutting edge
technology and gain practical exposure.
EDUCATION
North Carolina State University, Raleigh, NC Expected – May 2017
Masters of Science in Computer Science. GPA – 4.00
University of Mumbai, Maharashtra, India August 2009 – May 2013
Bachelor of Engineering in Computer Engineering. 71%
Relevant Coursework: DevOps, Recommender System (Independent Study), Algorithms for Business Intelligence;
Algorithms & Data Structures, Artificial Intelligence; Foundation of Data Science; Operating System; User Experience.
TECHNICAL PROFICIENCIES
Java, Python, Node.js, JavaScript, C#, C++, R, ASP.NET, PHP, MySQL, HTML, CSS, PHP, JQuery, Bootstrap, XML, JSON,
Windows, Linux, Mac, GitHub, Eclipse, Apache Spark, Visual Studio, Matlab, SQL Server, Jira.
WORK EXPERIENCE
IBM Watson Software Developer Intern May 2016 - Present
 Created a software as a service using Node.js and Cloudant which leverages IBM Watson’s cognitive capabilities to
enhance Customer Support experience.
 Implemented several APIs from scratch, refactored existing code to employ inheritance reducing redundant codes in
a Test Driven Development (TDD) environment.
 Drafted 3 patents along with 3 interns leveraging Machine Learning techniques and Watson’s capabilities.
Deloitte Consulting USI Business Technology Analyst Jan 2014 – July 2015
 Created a web-application integrated with Exigen Framework using Java, SQL and PHP to control and optimize
developer access to application server, which increased team’s productivity.
 Implemented high quality test cases using Java and XML for automating AAA web application testing.
 Stabilized script failures by identifying gaps in developer code and framework capabilities by collaborating with third
party vendor, Exigen Insurance Solutions.
ACADEMIC PROJECTS
 Interactive Whiteboard (C#) (URL: https://youtu.be/YX0wEqTNEW4): Designed and implemented a system to enable
computer (Windows OS) control from the projected screen by a professor to enhance classroom teaching. (Team
Project)
 Ad-click Prediction (Python): Implemented the paper “Ad click prediction: A View from the Trenches” to predict if an
ad will be clicked on 8 GB of training data using only 16 MB of RAM Memory using one-hot encoding.
 Face Recognition (Matlab, R): Created an Application for face recognition using SVD (Singular Value Decomposition)
after training with sample of 10 face angles per person. (Individual Project)
 Sentiment Analysis (Apache Kafka, Python): Analyzing live twitter feeds by creating model using supervised learning
techniques, Naïve Bayes and Logistic Regression. (Individual Project)
 Recommendation System (Apache Spark, Python): Recommending new products to a user using collaborative
filtering viz. Matrix Factorization based Alternate Least Squares Method. (Individual Project)
 Mobile Gallery Website (HTML, CSS, JQuery, SQL and PHP): A comprehensive phone gallery with user friendly layout
and features to compare phones, view them in 360° rotations, comments & feedback. (Team Project)
 Bitcoin Price Prediction (Python): Given time series data with price changes of bitcoin data, used Bayesian Regression
to predict future price changes of Bitcoin which can be used to make strategic investment decision.
 AdWords Matching (Python): Implemented online Greedy, Balance and MSVV algorithm to strategically place ads in
specified number of ad slots to maximize revenue from bidders.
ACHIEVEMENTS AND INTERESTS
 1st prize for “Interactive Whiteboard” project at national level project exhibition contest (2013) which had over 50
contestants from all over India.
 1st prize in Technology Analyst Simulation (TAS) program held by Deloitte Consulting (2015) among 64 participants.