Abhinav Kumar

CON TA CT

INFO R M A T I O N

(213) 298-0930 7 20 W 27 st, LA, CA 90007 abhinavk@usc.edu https://abhisrtv.herokuapp.com/

SKILL S Programming Languages | Java, Python, C/C++, Swift, PHP, Node.js, JS, JQuery, HTML5, JSON, XML, My SQL, MongoDB, SQLite | Algorithms, Android dev, iOS dev, Kernel Programming, RESTful APIs, Bootstrap, GDB, Github, Apache Tika, Apache Solr, Elastic Search, Wireshark, Clearcase

Course Work Algorithms and Data Structures, Web Technologies, Information Retrieval, Operating Systems, Natural Language Processing, Database Systems.

EDUC A T I O N University of Southern California Class of 2017 | Los Angeles, CA

Computer Science (Masters in Science) August 2015 – May 2017

• GPA: 3.75 BMS College of Engineering Class of 2012 | Bangalore, India

Computer Science (Bachelor of Engineering) Sept 2008 – June 2012

• Graduated with GPA: 4.00 • Department’s List (all semesters)

PROF E S S I O N A L

EXPERIEN CE

RECEN T

PROJ E C T S

ITC Infotech | San Jose, CA

Software Engineering Intern for Product Engineering Services Team May – August, 2016

• Created a Universal dialect using Node.js to parse data from databases like SQLite, MySQL,

mongoDB, etc. and flat files. It is used to parse user queries irrespective of the underlying database.

• Developed access management chrome extension Framework for easy accessing of any web page

with just one-click. It bypasses multiple level of authentication for websites which does not support

single sign-on functionality.

Motorola Solutions, Inc. | Bangalore, India

Software Engineer for ECRT WLAN team June 2012 – July 2015

• Developed the Wi-Fi module which improved the roam time by more than 90% for effective wireless

communication on state change from suspend to resume. • Integration of SHA256 algorithm to wpa_supplicant and OpenSSL module of Motorola WLAN stack.

(info at https://abhisrtv.herokuapp.com/and available source code at https://github.com/abhinavsiwan)

Spam Detector (Natural Language Processing)

• Implemented Python based engine to classify emails as spam or not spam using Naïve Bayesian classifier. Used machine learning to train the engine and applied the functionality to classify emails.

Web Crawling Indexing and Searching

• Developed a web search engine for finding relevant web pages. Used Crawler4j to crawl and scrape the data and created an inverted page indexing and page ranking in Solr.

Web and Android App for Weather Forecast

• Designed and chartered web and android application for weather forecast across united states using Bootstrap. Hosted the app on AWS and the forecast data was retrieved using RESTful web service.

Chat Application

• A small basic prototype of a real time chat server that leverages the powerful features of Node.js. The app used npm modules like express.js, socket.io, passport.js to provide these functionalities.

The SHIELD Android App

• Designed and developed an android app that allows users to access and configure the important features of a phone from a pre-registered phone number. Hosted the app on Google Store.

PUBLICA TION S Disclosure under review by Motorola Patent Committee “Method and Apparatus for capturing packets on more than one IEEE 802.11 channel”

2015

AWA RDS A N D Winner of Moment Award, at Motorola Solutions(Best Employee Award) 2014 HONO U R S Silver Medalist, Department of Computer Science, BMS College of Engineering 2012