Vinit Shah is a master's student in computer science with extensive software engineering experience, seeking a full-time software engineer role. He has a strong educational background from Illinois Institute of Technology and the University of Mumbai, with notable internships and skills in various programming languages and technologies. His projects include developing a financial survey system, a mobile application for travelers, and implementing data sorting techniques using Hadoop and Spark.

1. VINIT SHAH
vshah60@hawk.iit.edu http://www.shahvinit.com, https://github.com/vinits91 3001, S. King Drive
Ph- +1-312-536-1053 Chicago, IL 60616
Summary
Master’s of Computer Science student with an extensive Software Engineering project experience with strong ability to learn and solve
practical challenges. Interested in Full-Time job role as a Software Engineer.
Education:
Master’s in Computer Science, Illinois Institute of Technology, Chicago, Illinois GPA: 3.88/4.0 Expected May-2017
Coursework: Online Social Network Analysis, Design and Analysis of Algorithms, Cloud Computing, Software System Architecture,
Mobile Application Development, Advanced Database Organization, OO Design Pattern, UML Modelling, Software Project Management.
Bachelor of Engineering, Computer Science, University of Mumbai, India GPA: 3.80/4.0 May-2013
Coursework: Data Structures and Files, Analysis of Algorithm and Design, Data Warehouse and Mining, Software Architecture, Object
Oriented Software Engineering, Advanced Computer Networks.
Diploma, Computer Science, Bhagubhai Mafatlal Polytechnic, India GPA: 3.82/4.0 June-2010
Professional Experience:
Software Engineer Intern (Internship/Co-Op), Blue Cross Blue Shield Association, Chicago May 2016 – Present
Project: PACER Survey (Technologies: Spring MVC, IBM WebSphere, JQuery, IBM Rational Application Developer, Jenkins)
 Developed system which handles financial survey creation with various questions distributed across multiple sections.
 Implementation of enhancements and production defects, accelerated project delivery through active support during UAT.
 Contributed in creation of DataMart schema through integration of databases using SSIS and Tableau for Data Analytics.
 Thoroughly demonstrated the ETL process to client which helped in improving cost and budget finance data visualization.
Associate Software Engineer, Rave Technologies a Northgate Company, India Oct 2013 - July 2015
Project: American Chemical Society (Technologies: Agile, GWT, Spring MVC, Hibernate, JPA, Maven, REST, EJB)
 Aggregated and elucidated requirements from client to formulate the project development plan using Agile.
 Developed widgets using Java Frameworks (GWT, Spring MVC, Hibernate) which supports scientific inquiry in chemistry field.
 Implemented application which helps ACS to manage membership and accounting information of members.
 Outpaced the application performance using Database query optimization methods and EhCache Implementation.
 Analysed and Developed different POC for PDF annotation, parsing of data from XML to Flip Book using XML based parsing.
 Awarded with “Feather in the cap” award for assistance rendered by individual in team performance.
Skill Sets:
Languages: C, Java EE, Spring MVC, Hibernate, Google Web Toolkit (GWT), Design Patterns, JSON, IBM WebSphere, Python.
Web Technologies: JavaScript, JSP, JQuery, Apache Tomcat, JBoss, XML, HTML, CSS, PHP (Framework- Code Igniter, WordPress).
Project Management Tools and IDE: Maven, Ant, GIT, Jenkins, IBM Clear Case, Eclipse, IBM RAD, Android Studio, Toad.
Database Technologies: Oracle 11g, SQL Server 2005.
Mobile Technologies: Android, J2ME.
Cloud Technologies: Amazon AWS, EC2, Hadoop, Spark, SQS, DynamoDB.
ETL Tools: SSIS (Visual Studio 2015), Tableau 10.0.
Projects:
Friend Recommendation System and Sentiment Analysis (Twitter) (Technologies: Python, Pandas, Machine Learning) Nov. 2016
 Designed system that collects user’s data and tweets based on keyword from Twitter, fetches user’s friends and followers via API.
 Clustered users into communities based on Jaccard similarity of their friends and followers and recommends friends to users using
similarity output value.
 Classified tweets as positive and negative sentiment using pre-labelled Afinn data dictionary and machine learning model.
TourIt Mobile Application (Technologies: Android, SQLite, Google Login API, Google Maps) Apr. 2016
 Analysed and designed mobile application using Android to resolve problems of travellers during visit to new places.
 Authorized user through incorporation of Google login API to use all features, or continue as a guest with limited features.
 It helps tourist to plan tour with creation of favourite list of attractions along with direction to attraction from current location.
 Incorporated feature of taking picture memories and make video out of it, along with gallery to view picture memories.
Distributed Sort of 1GB to 1TB Data (Technologies: Java, Hadoop, Apache Spark, Amazon AWS, EC2, Ubuntu Linux) Mar. 2016
 Implemented shared memory external merge sort, to sort data on single AWS instance with varying degree of threads.
 Configured master-slave Hadoop, and measured sorting time with mappers, reducers with varying number of slaves from 1 to 16.
 Established master-slave Spark with varying degree of slaves from 1 to 16 nodes to determine time of sorting.
 Analysed and determined efficient sorting time by Apache Spark, by comparing shared memory, Hadoop and Spark sort time.