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.