State University Software Engineer

VIRAJ MANJAREKAR

**************@*****.*** LinkedIn 657-***-**** Fullerton, CA

(For Full-time Opportunities)

Educational Qualifications

Master of Science in Computer Science Expected: May 2018 California State University, Fullerton GPA: 3.7

Related Coursework: Advanced database Management, Software Design, Web Front-end Technologies, Software Verification & Validation, Advanced Neural Networks, Deep Learning, Advanced Computer Networks, Software Design & Measurements Bachelor of Engineering in Computer Science May 2014 University of Mumbai, India GPA: 3.67

Related Coursework: Database Management System, Analysis of Algorithms, Data Structure, Discrete Systems and Graph Theory, Operating Systems, Artificial Intelligence and Object Oriented Programming. Technical Skills Set

• Languages: C, C++, Java, Javascript, PHP, .NET, HTML, HTML5, CSS3, Python, JQuery, Node JS, Bootstrap, AJAX, RESTful Web Services, MVC, D3.js

• Databases: MSSQL, PL/SQL, MongoDB, NoSQL

• IDE/Tools: Anaconda, NetBeans, Eclipse, Rational Rose, DreamWeaver, Visual Basic, Google Maps, JD Edwards, Boomerang, Rapidminer, Qlickview, Retrodash, Retrodash+, WEKA, Octoparse, Star UML

• Hardware: Raspberry Pi 3

• Operating Systems: Linux, Windows, Raspbian, Ubuntu

• Testing frameworks: Selenium IDE, Junit, PHPUnit, Visual Code Grepper Work Experience

Webmaster, California State University, Fullerton May 2017 - Present

• Developing, designing and maintaining college portal and PeopleSoft website modules based on PHP and Content Management System using HTML 5, CSS, JavaScript, JQuery and AJAX.

• Developing GPA Calculator and other academic software for students using JavaScript and PHP

• Maintaining and updating student database using Microsoft SQL server.

• Designing online forms for students and integrating .NET, PHP with JavaScript.

• Broadcasting live events and modifications on the college website. Research Assistant, California State University, Fullerton March 2017 – July 2017 Project: Emotions Prosody (Deep Learning)

• Designing a system based on Sensor Fusion which detects the emotions of humans based on voice, tone, facial expressions and gestures with the help of different Machine Learning methods.

• Involving several techniques for anomaly detection using Grubbs Test, Gasussian model and regression model.

• Extracting data from tools such as Kaldi, CMU Sphinx, HTK, Juilius and using various softwares such as Microsoft Cognitive Toolkit, Annotation-assist by Watson, Vokaturi, IBM Watson etc. Larsen & Toubro Infotech, India – Software Engineer Sept 2014 – Apr 2016 Clients: Lafarge and Chevron

• Developed Java based Tool, “Retrodash+” for extracting and comparing Event Rules from various environments, which is used to estimate efforts for retrofitting the objects for higher version and performed rigorous Sand Box Testing. Lafarge, Chevron, SFR and Veolia are using this tool.

• Worked as an ERP Developer for Lafarge and developed Retrofitting of the objects using Oracle’s JD Edward tool to make them compatible with higher version.

• Worked as a CNC Tech Team Analyst and Database Administrator for Chevron. Performed data migration and data replication on the Chevron servers using JD Edwards.

Titan Shops Books – Web eService Associate Dec 2016 – Feb 2017 California State University, Fullerton CA

• Provided a high level of service to both online and in-store customers through effective use of phone, email, and sales floor support.

• Processed online orders and updating the online inventory of merchandise and technology products. Academic Projects

• Earthquake Prediction Using Solar System Objects (Web application based on Machine Learning), CSU Fullerton o Developing a web application which finds the correlation between earthquakes and solar system objects (Sun, Moon, Mars, Jupiter) where system gets repeatedly trained using supervised learning. o Front-end is getting build in HTML 5, CSS 3, Javascript, PHP and the data visualization and manipulation is done with the help of Python scikit-Learn and libraries like TensorFlow, Pandas, Numpy, Matplotlib. Editors used are Atom, Jupyter Notebook and Anaconda Command Prompt.

• ImgRepo (Images Uploading Social Media Website), CSU Fullerton o Developed a web application for the users to upload the photos and comments regarding those photos. o Added the functionality of upvote, downvote, newly added and top trending photos. Hosted this application on the private domain.

o Technologies Used are HTML 5, CSS 3, Bootstrap, Javascript, Ember.js, Node.js, Ajax, JQuery and maintained the data on Firebase API.

• Narcissists Talk About Themselves (Blogs Posting Web Application), CSU Fullerton o Developed a web based application for narcissists to upload their views along with the attached media. Front-end was built using HTML 5, BootStrap, CSS 3, Javascript.

o Sent the user data to the server using Node JS, Ajax and JQuery which stored in MongoDB and parsed using JSON . o Deployed the system with the help of Deployd (An open source platform for designing, building and scaling APIs for web and mobile applications).

• Protein Family Classification Using Machine Learning (Long Short-Term Memory), CSU Fullerton o Developed a Java based Machine Learning Algorithm based on Long Short Term Memory to find out which protein sequence belongs to which protein family and which protein class. Used Positive and Negative training datasets of Protein in the form of FAST-A Sequence for more than 6000 sequences.

o Successfully maintained the Mean Squared Error closest to 0 and Area Under ROC (receiver operating characteristic) Curve closest to 1 after 100 Epochs and successfully tested the results. o Technologies: Java Multithreading, Apache Ant, Junit, Python scikit-Learn and libraries like TensorFlow, Pandas, Numpy, Matplotlib

• Burp! (Sentimental Analysis on Restaurants Reviews), CSU Fullerton o Developed a web application which helped users to compare multiple restaurants at a time based on location, price range, reviews and ratings. This system helped users to find best nearby restaurants by analyzing various graphical views. o Performed various data modeling activities such as data scrapping, data cleansing, removal of duplicate data, data evaluation performed Generating Genetic Algorithm (GGA), Decision Tree and Aspect Based Sentimental Analysis Algorithm. o Technologies and Tools used: Java, PHP, HTML, JavaScript, ODBC, Rapidminer, Qlikview, Qlik Sense Desktop, Octoparse.

• Centralized Assignment Plagiarism Detector, University of Mumbai o Developed a submission portal where instructors can upload assignments and students can submit their responses. Utilized the method of fingerprinting for detecting copied content and enhanced the outcome using citation chunking which detects disguised plagiarism. This was developed using

o Technologies: PHP, HTML, CSS, Javascript, Apache Tomcat.

• Built speech recognition system for Indian accent using Sphinx 4 Java based tool. Hidden Marvkov model was used for repetitive learning of tokens/phonemes and with the help of supervised learning approach model was trained repeatedly to minimize error rate. Workshops and Extracurricular Activities

• Treasure/Financial Officer of Network Engineering Club at California State University, Fullerton 2017-present

• “Game Development” conducted by Able Brain, St. Francis Institute of Technology, India 2013

• “Ethical hacking”, St. Francis Institute of Technology, India 2013

• IEEE member at St. Francis Institute of Technology, India 2013-2014 Key Achievements and Awards

• Published a Review paper on, “A Detailed Analysis of QR Codes and a Technique to Generate QR Codes for Cryptography” in International Journal of Computer Science and Engineering (IJCSE), Vol.2, Issue 5, Nov2013

• Two user recognition and client satisfaction awards from the Lafarge and Chevron for providing them better service and achieving milestones on periodic basis.

• Published an academic Survey paper on Big Data Applications in Utility Control (Oil, Gas and Electricity) Industry.

• Published and presented academic Survey Paper on Long Short Term Memory and Applications.

• Participated in the Kaggle competition for finding the relation between earthquake and the solar system objects.

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