Engineering Computer Science

Rachel Gonsalves

*** * *** ******** **, San Jose, CA 95112

**********@*****.*** ● 408-***-**** ● www.linkedin.com/in/rachelgonsalves Objective

To obtain Software Engineering Internship for Summer/Fall/Spring 2016 Education

M.S. Computer Science Expected May 2017

San Jose State University

Coursework: Cryptography and Computer Security, Advanced Parallel Processing, Design and Analysis of Algorithm, Big Data, Advanced Programming Language Principles Bachelor of Engineering in Computer Science May 2012 Xavier Institute of Engineering, University of Mumbai, India Work Experience

Jr. Programmer, Ugam Solutions, Mumbai 2014 - 2014

Worked on Quantum for data tabulation and validation. Lecturer, University of Mumbai, India 2012 - 2013

Taught Object-oriented programming. Coached students on problem-solving skills. Conducted lab activities Student Assistant, SJSU Research Foundation, San Jose, CA 2015- present

Manage web site, develop fillable forms, Esdit corporate documents, support CEO’s office, seek funding opportunities Technical Skills

Operating systems: Windows 8, Linux

Languages: C++, Java, HTML, Quantum, Haskell, LaTeX, JavaScript, Ruby

Databases: SQL, Oracle10g

Applications/Technologies: Microsoft Visual Studio, Eclipse, Adobe CS6, Hadoop, IDA Pro, OllyDbg, AutoCAD

Networking: TCP/IP, Cryptography and Network Security including malware and reverse engineering. Academic Projects

Title: Reverse Engineering Project October 2015 - December 2015 Software: XP Repair Pro

Goal: Reverse engineer XP Repair Pro, study code, analyze and manipulate its vulnerabilities. Title: Minimum Line Cover for Points October 2015 - November 2015 Technologies: Python, Shell scripting, Algorithm

Goal: Implement Greedy Minimum Set Cover algorithms for generating minimum lines to cover given set of points in a plain. Title: Cryptography and Parallel Processing October 2015 - November 2015 Goal: Study the parallel implementation of AES algorithm to improve efficiency and speed for encryption and decryption. Title: Overview of Object Capabilities March 2016 - May 2016 Goal: Study object capabilities based languages and systems (ADSafe and Caja) and emphasize its usefulness in secure systems. Title: Analysis and prediction of housing prices March 2016 - May 2016 Technologies: Spark MLib, tableau, Eclipse

Goal: To predict the housing prices in UK based on available data of previous years using random forest algorithm. Title: Content Based Image Retrieval August 2011 - May2012 Environment: Matlab 9

Project Goal: Retrieve images on the basis of an image and its content.

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