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DIVYA SWAMINATHAN
e: dswamina@usc.edu || t: 213-292-1374 || 2707 Portland Street, Unit 211 Mardette Apts, Los Angeles , CA - 90007
OBJECTIVE: Seeking Full Time Opportunity as a Software Engineer starting 2016 January.
EDUCATION:
MS Computer Science University of Southern California Dec 2015
BS Computer Science & Engineering Amrita University May 2014
GRADUATE COURSEWORK:
Past: Foundations of Artificial Intelligence, Database Systems ,Natural Language Processing, Web Technologies || Current :
Mining of Massive Datasets, Advanced Data Stores
SKILL SET
Languages & Script- C, C++, Java, Android, SQL, Python, MATLAB.
INTERNSHIP & STUDENT WORK EXPERIENCE:
Engineering Development Group Intern at MathWorks Inc. Worked on implementing a function for the String Team and it
is slated for the MATLAB R2016a release. [Aug 2014 – Dec 2015]
Teaching Assistant for a Course Practicum Digital Marketing under Prof. Hank Wasiak. Appointed for the Spring-2015
Semester under USC Marshall School of Business.
Lab Assistant for the Course CSCI 201L Principles of Software Development using Java. Handled Java programming labs for
student, introducing them to various functionalities of Java. Held Office hours and also graded papers. August – 2014 Fall
semester under Prof. Jeffrey Miller, Spring 2015 [Present]
Software Engineering Intern in Cognizant Technology and Services. Trained in Relational Databases and Essential Android
Development.
PUBLICATIONS:
Submitted a research paper – Devising a nouvelle method Angulation Technique to distinguish the movement of hand over
the face.
Published an International Paper on “Sign Language Recognition System”, in International Journal of Imaging and Robotics,
November-2014
Published an International Paper on “Segmentation, Tracking and Feature Extraction for Indian Sign Language Recognition”
in International Journal of Computer Science and Applications – May-2014
Published a Research Study on “Object Tracking Algorithms” in the International Journal of Engineering Research and
Technology. Feb-2014.
PROJECT EXPERIENCE
Intelligent System for Inference using Backward Chaining Algorithm: Developed a system using backward chaining
algorithm that infers whether a query is true or false given a predefined Knowledge Base.
Othello – Next Move Prediction using Alpha - Beta Pruning and Minimax Algorithm: Given any state of the Othello
game, the system predicts the next best possible move with maximum probability of win based on a set of positional weights.
Sign Language Recognition System: A nouvelle learning system that learns and recognizes Sign Language Gestures. The
system makes of Color based Segmentation, motion trace feature extraction and dynamic time warping to learn and recognize
gestures. The system does not use any costly hardware and works achieving efficiency rate of 70-78% .
https://github.com/meenupurplestar/B-Tech-Final-Year-Project
Language Identification System: Used N-grams method and built a system to recognize a set of languages. Combined the
different N grams technique and achieved an accuracy of 96%. The implementation of the project can be found at:
https://bitbucket.org/bharathvignesh009/csci544-team34-project/src
Toggle – Android Game: A ICPC problem that was converted into a game in a 24 hour App Dev Fest.
Logophile – Vocabulary Builder Android Application: A Vocabulary Builder developed using SQLite and Android SDK.

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Divya Full Time Resume

  • 1. DIVYA SWAMINATHAN e: dswamina@usc.edu || t: 213-292-1374 || 2707 Portland Street, Unit 211 Mardette Apts, Los Angeles , CA - 90007 OBJECTIVE: Seeking Full Time Opportunity as a Software Engineer starting 2016 January. EDUCATION: MS Computer Science University of Southern California Dec 2015 BS Computer Science & Engineering Amrita University May 2014 GRADUATE COURSEWORK: Past: Foundations of Artificial Intelligence, Database Systems ,Natural Language Processing, Web Technologies || Current : Mining of Massive Datasets, Advanced Data Stores SKILL SET Languages & Script- C, C++, Java, Android, SQL, Python, MATLAB. INTERNSHIP & STUDENT WORK EXPERIENCE: Engineering Development Group Intern at MathWorks Inc. Worked on implementing a function for the String Team and it is slated for the MATLAB R2016a release. [Aug 2014 – Dec 2015] Teaching Assistant for a Course Practicum Digital Marketing under Prof. Hank Wasiak. Appointed for the Spring-2015 Semester under USC Marshall School of Business. Lab Assistant for the Course CSCI 201L Principles of Software Development using Java. Handled Java programming labs for student, introducing them to various functionalities of Java. Held Office hours and also graded papers. August – 2014 Fall semester under Prof. Jeffrey Miller, Spring 2015 [Present] Software Engineering Intern in Cognizant Technology and Services. Trained in Relational Databases and Essential Android Development. PUBLICATIONS: Submitted a research paper – Devising a nouvelle method Angulation Technique to distinguish the movement of hand over the face. Published an International Paper on “Sign Language Recognition System”, in International Journal of Imaging and Robotics, November-2014 Published an International Paper on “Segmentation, Tracking and Feature Extraction for Indian Sign Language Recognition” in International Journal of Computer Science and Applications – May-2014 Published a Research Study on “Object Tracking Algorithms” in the International Journal of Engineering Research and Technology. Feb-2014. PROJECT EXPERIENCE Intelligent System for Inference using Backward Chaining Algorithm: Developed a system using backward chaining algorithm that infers whether a query is true or false given a predefined Knowledge Base. Othello – Next Move Prediction using Alpha - Beta Pruning and Minimax Algorithm: Given any state of the Othello game, the system predicts the next best possible move with maximum probability of win based on a set of positional weights. Sign Language Recognition System: A nouvelle learning system that learns and recognizes Sign Language Gestures. The system makes of Color based Segmentation, motion trace feature extraction and dynamic time warping to learn and recognize gestures. The system does not use any costly hardware and works achieving efficiency rate of 70-78% . https://github.com/meenupurplestar/B-Tech-Final-Year-Project Language Identification System: Used N-grams method and built a system to recognize a set of languages. Combined the different N grams technique and achieved an accuracy of 96%. The implementation of the project can be found at: https://bitbucket.org/bharathvignesh009/csci544-team34-project/src Toggle – Android Game: A ICPC problem that was converted into a game in a 24 hour App Dev Fest. Logophile – Vocabulary Builder Android Application: A Vocabulary Builder developed using SQLite and Android SDK.