Harsh Shah

*** ****** ******, ******, ** ***** adhx9n@r.postjobfree.com 617-***-****

linkedin.com/in/shahharsh11 github.com/harshs11

Education

Northeastern University Boston, MA, USA December 2020 Master of Science in Information Systems

Related Courses: Application Engineering and Development, Web Design and User Experience Engineering, Web Development Tools and Methods, Data Structure and Algorithms, User Experience Design and Testing, Advanced Big Data Indexing, Database Management and Design Mumbai University Mumbai, MH, India June 2017

Bachelor of Engineering in Information Technology

Related Courses: Structured Programming Approach, Object Oriented Programming Management, Cloud Computing, Web Technology Technical Skills

Programming Languages: Java, C++, C, Python, C#

Web Development: JavaScript, Angular7, Spring Boot, Hibernate ORM, NodeJS, TypeScript, React, PHP, AJAX, HTML5, SCSS, Vue.js Operating Systems: Linux, Windows

Databases: MySQL, MongoDB (NoSQL), Redis, MS SQL Server, Oracle SQL 11g Tools/Version Control: Git, Postman, UFT, Selenium, Eclipse, IntelliJ, Axure RP, Moqups, Microsoft Office, JIRA, Android Studio Work Experience

Ascent FutureTech LLP Mumbai, MH, India July 2017 - July 2018 Software Developer

• Designed and developed web dashboards using AngularJS and Spring Boot to effectively manage ordering, processing and delivering of products by building RESTful API’s on Spring Boot from its inception to deployment

• Developed a web based dashboard for end users to get information about nearby ambulances and hospitals that have ICU/PICU facilities based on their current location through Geofencing and provisioned them to book hospital beds directly through the app

• Built a platform for freelancers so that the clients get access to verified freelancers and can view their portfolio and integrated BrainTree(Payment Gateway) into the application boosting the payment ratio by 16% Academic Projects

Northeastern University Boston, MA, USA

JobGet (Spring MVC, Hibernate, Restful Web Services, MySQL) April 2019

• Developed an annotated Java Spring MVC job portal web-app (MySQL, Hibernate, RESTful Web Service, JSP) for recruiters to post job openings and for applicants to apply for jobs and optimized the system using Hibernate Caching Techniques

• Incorporated features such as file upload (itext), apache commons-email, Spring Security for password hashing, validations using Interceptors and Validators and created personalized workflows leveraging Spring Controllers and Hibernate APIs Bike Rental Application (MEAN Stack) December 2018

• Developed a web application for renting bicycles where the user can search for a bicycle and rent it (Angular7, NodeJS, MongoDB)

• The application helps the user to search for bicycles nearest to his location and gives a roadmap to reach the station by leveraging Google API’s, incorporated Angular FormGroups for defining forms and validations, developed Angular Https Interceptor for adding JWT tokens in each outgoing request and the user data is stored in MongoDB using hash and salt scheme

• The user can also listen to songs on the application while enjoying his ride for which the Spotify API was used and integrated FarmFood Distributors (Java, DB2) December 2018

• Measured the pros and cons of the Traditional Farmer’s Market Model and enhanced it by applying the Java Ecosystem model and helping in cutting down inventory costs and provide real-time weather information by leveraging OpenWeatherMap API

• Applied concepts of database from normalization to creating stored procedures, views, triggers and joins, database connection was established using session factory and object model was designed by applying Singleton and Factory Design pattern Bigdata Indexing Web Application (Spring Boot, Redis, Elastic Search) April 2020

• Designed Rest API and inverted index web application using Spring Boot, Redis Database and Elasticsearch

• Implemented advanced message queuing mechanism using Redis Queue to process asynchronous messages

• Integrated indexed search functionality using Elasticsearch and retrieved data using Kibana Opinion Mining for Hotel Reviews (Android) Mumbai University January 2016 – May 2017

• Developed an Android application for hotels where the user can search, review the hotel and the app will convert the review into a rating of 5 based on the keywords in the database with the help of PoS Tagging, TF-IDF

Contact this candidate