Varun Srivastava

Software Developer, GoDaddy

MS, Software Engineering, Arizona State University

About Me!
Technical Skills
Projects
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About Me!

I am a graduate student pursuing Masters of Science in Computer Software Engineering in Arizona State University, Tempe. My focus area includes Advanced Algorithms and Data Structures, Programming Languages Principles, Applications and Techniques of Deep Learning, Natural Language Processing, Semantic Web Engineering, software patterns, and project management techniques.

I work as a part time web developer for the global outreach and extended education department of the Arizona state University, Tempe, while doing my masters.

Before starting my graduate studies, I was working as a senior software developer in Accenture Services, Gurgaon, as a full stack application developer. My role there was to design, develop, test, and deploy highly scalable and optimised java based applications for customers in Telecom industry, Media industry, and Public Services. I got the opportunity to research and perform POCs on a variety of technologies to improve the products' quality and the development process.

I have done my bachelors in Electronics and communication with my focus area being signal processing, and FIR and IIR filters optimization.

In my free time I like to read research papers, explore new open source projects on github, and do online courses on coursera and udemy. On weekends, I love doing hiking and cycling.

Technical Skills!

Skills

Software Development

Algorithms, Data Structures, J2EE, Mean

Data Science

AI, Deep Learning, Machine Learning, Big Data

SQL

MySQL, Oracle SQL

Programming Languages

Java, Python, PHP, JavaScript, C, C++

Web Development

HTML5, CSS3, Bootstrap, Adobe CMS, Drupal

Web Frameworks

Spring, Hibernate, Flask, CherryPy, Portlets

Data Science Frameworks

Numpy, ScyKit, MatPlotLib, Panda

My personal projects!

Portfolio

Personal & Academic Projects

Weather Monitor Application

Created an application using AngularJS, NodeJS, ExpressJs, and HTML5 to display and save weather information of any city/town/state on the browser.

Used API provided by open weather map to get weather information about the requested location.

Used browser storage to save the location preference of the user to reload the weather information for that location even when the browser was closed.

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Foodie Customer Review System

My role in this project was to solely implement the backend webservices, databases and the web application using java, Spring, Hibernate, JSP and jQuery. The webservices was used by an android application loaded on a tablet device to get data from customers.

This application was designed to allow hotel and restaurant owners to receive customer feedback data during billing. This data was then processed further to display critical insights for the business owners to understand which factors are working and which factors are not working for them. This approach allowed business owners to get the feedback from verified customers only, which was an improvement over the reviewing systems found on the internet like YELP.

Some of the features I designed includes - User Authentication using hash and salt, restful APIs, statistics for the business owners using graph api, admin website for business owners to decide their customised questions for customers, etc.

Analyzing Safety Metrics of Major US Towns/Cities Using Semantic Web

Based on the data received from various government agencies regarding demography, education, crimes and federal expenditures, applied semantic web engineering to generate safety index of all major cities of US.

My tasks involved gathering historical data from sources like FBI, UCR, data.world, NCES, Census Bureau, etc. Then I designed a semantic data model with relationships between all the data columns using apache Jena framework to make the data more usable. After this the data was converted into RDF instances using this data model.

These RDF instances were then served on an apache Fuseki server. This server was used to query the RDF data efficiently and provide a good estimate about safety index of cities along with providing insights on the socio-economic conditions which might affect the crime rates.

Created an AngularJS based web app which allowed users to enter names of the US cities. Based on this, queried the Fuseki endpoint to display all the relevant information to the user.

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Linux Process Monitor

Created a loadable kernel module which prints a list of all the running processes in Linux OS. Furthermore, it allowed sending process names or process id’s as arguments to display more information about the process, like the parent process or child processes.

Used the macros and data structures provided in the Linux source files to capture this data.

ZEAL Programming Language

Designed and developed a programming language while keeping in mind the basic principles that goes into creating one.

Created a BNF-like grammar to define the programming language. Kept the syntax of the language easy while not compromising on the functionalities.

Used ATNLR tool to parse the input program and generate a tree of tokens.

Created two separate programs to interpret the input program and execute the interpreted code.

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