Ishan Shah

• ac59z7@r.postjobfree.com • https://www.linkedin.com/in/ishanvshah • 201-***-**** • Jersey City, NJ EDUCATION

Stevens Institute of Technology, Charles V. Schaefer, Jr. School of Engineering & Science Hoboken, NJ Master of Science in Computer Science, GPA: 3.7/4.0 May 2018 Course Work: Enterprise Software Architecture and Design, Database Management Systems, Concurrent Programming, Advanced Algorithms, Database Management Systems, Big Data Analytics, Social Network and Web Analytics University of Mumbai, D.J. Sanghvi College of Engineering Mumbai, India Bachelor of Engineering in Computer Engineering, GPA: 7.75/10.0 May 2016 Course Work: Parallel and Distributed Systems, Operating Systems, Cloud Computing Lab, Data Warehouse and Mining SKILLS

Programming Languages: Java, Erlang, Scala, Python, JavaScript, XML, XSL Database Systems: PostgreSQL, MySQL, Cassandra

Technologies: Amazon Web Services, Service Oriented Architecture, REST Certifications: Microsoft Certified Technology Associate (Web Technology) Additional Courses: Scala and Spark for Big Data and Machine Learning, Hadoop MapReduce for Big Data PROFESSIONAL EXPERIENCE

Ask My Uncle Sam Inc.

Software Engineer August 2017- November 2017

Generated word2vec word embeddings for tax publications and IRS tax code, using tensorflow and python

Calculated sentence similarity scores using word2vec embeddings and similarity measures from scikit-learn to handle semantic and syntactic differences between the user input string and database key string

Assisted in building chatbot application using Django and deployed it using NGINX server Software Engineering Intern June 2017-August 2017

Implemented a Deep Learning LSTM model in python using TensorFlow to build a chatbot dialog platform

Used different natural language processing similarity score functions (including word2vec, ngram, tfidf, topic modelling) to match an input question with our target answers. Also, developed AMIs and maintained servers PROJECTS

Simple peer-to-peer (P2P) RESTful Distributed Hash Table October 2017- December 2017

Implemented DHT, a peer-to-peer structured overlay network using RESTful API to facilitate inter node communication and embedded Grizzly Web Server for the nodes to run as standalone Java programs

Provided node operations like joining nodes and creating key-value pair bindings on each node. Binding operations of adding, retrieving, deleting bindings at both local & remote nodes(with respect to the EC2 instance) Remote Method Invocation Implementation of File Transfer Protocol (FTP) Server September 2017- October 2017

Implemented file upload and download in active and passive mode using TCP sockets, Java EE and Maven

Provided various functionalities like changing directory on the server, at multiple levels, up and down in the file system and listing contents of the remote directory the remote file system is navigated

Created EC2 instances of client and server, and configured appropriate security groups for active-passive modes Search Engine March 2017- April 2017

Designed and implemented an efficient search engine using an inverted index data structure, in Java in O(m)

Data structure consisted of an occurrence list of terms, which is an array and a compressed trie for the set of index terms, where each external node stores the index of the occurrence list of the associated term Clinic Information System Web Service Interface using REST September 2016- October 2016

Developed a RESTful web application in Java EE for a clinical information system consisting of various entities like patients, treatments and treatment providers. Deployed it on Amazon Web Services EC2 instance

Defined the web service interface for clients that want to access the application over the web, that includes a hypermedia network linking resources to other resources

Provided interface features for patients like adding patients, obtaining patient representation from a resource URI or patient id, obtaining treatment information; and treatment provider features to do the same operations Socially-Connected Cities: Detecting culturally significant locations October 2016- December 2016

Developed a Web Scraper in python to perform data extraction from Instagram for top posts at various locations

Applied statistical models(Girvan-Newman & Clauset-Newman-Moore) for community detection in R to get the most important cities based on the hashtag network from the hashtags used on top posts from each city

Developed and integrated the program into R-shiny application which provides a dashboard to organise city dropdown, visualisation algorithm, degree centrality, community detection, geographic views & degree distribution

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