Developer Web

Sanjitha Ranganath

*** ***** **

Milpitas, CA ***35

m: 559-***-****

***********@*****.***

Education and Credentials

Master of science( in electrical & computer engineering)december 2017

California State University Fresno, Fresno, California GPA: 3.2

Relevant Coursework Includes: Data Structure and algorithms, VLSI Design, Special topics in communication networks, Antenna and propagation, Modern semiconductor devices, Systems modelling and realization, Advanced signals and systems, Probability and stochastic processes, Applied electromagnetic

Bachelor of engineering(BE) in Electrical & Electronics Engineering, 2015

Acharya Institute of Technology,Bangalore, India GPA 3.5

Awarded Academic Excellence Award

Technical Skills

●Operating Systems: Windows XP/7/8/10, MAC OS, Linux

●Programming languages: C, C++, Java, PL/SQL

●Web technologies: Html5, CSS3, JavaScript, jQuery,JSON, PHP

●Frameworks: Spring MVC, AngularJs, ReactJs, NodeJs

●Database and Server Technologies: SQL/PLSQL, Oracle DB, Apache Tomcat

●Testing tools: Selenium

●IDEs: Eclipse, IntelliJ, Visual Studio Code

●Engineering tools: Labview, Modelsim, Pspice, Matlab, Magic, FEKO, AutoCAD, SolidWorks, HFSS.

●Documents: Word, Powerpoint, Excel.

Professional Experience

Associate Software Developer,Aisling Cloud Tecnologies, Austin, TX 03/2018-Present

Responsibilities:

Involved in Maintainance and Enhancements.

Experience using jQuery and Bootstrap plugins for the webpages

Handled accounting modules and reports.

Integrated the Angular JS application with the RESTFUL Web Services.

Implemented Client side validation using JavaScript.

Environment: Oracle ADF 12c, Java, Java server faces, AngularJs, jQuery, Bootstrap and Java Script.

Web Developer Intern, CSU Start-up, Fresno, CA 05/2017-08/2017

Responsibilities:

Designed and developed web application using HTML, CSS, JavaScript, jQuery and PHP

Worked on different sections of web application like Responsive Web design, User Authentication flow, Session management with different databases.

Designed and developed GUI for applications and modules, using JavaScript

Developed page layouts, navigation and concepts as per requirements.

Collaborated with business analyst and backend developer for better layouts and ease of use.

Environment: HTML5, CSS3, JavaScript, JQuery, PHP, MySQL

Angular Developer, Madhu Technologies, India 12/2013-5/2015

Responsibilities:

•Developed GUI using JavaScript, Angular JS, HTML/HTML5, DOM, CSS3 and XHTML, Mobile in ongoing projects.

•Front end interactive UI was developed using HTML, CSS and Java script.

•Used AngularJs to create views to hook up models to the DOM and synchronize data with server as a Single Page Application.

•Effectively used Angular Directives, filters, declarative templates, service providers and context aware communication.

•Performed AngularJs end to end testing using Protractor framework.

•Played an active role in testing the application by testing the application for different scenarios and

in production bug fixing.

•Responsible for Integration testing and System testing

Environment: JDK 1.7, JavaScript, jQuery, XML, Oracle

Project Experience

●PEOPLE COUNTING USING ULTRA WIDE BAND RADAR BASED ON ARTIFICIAL NEURAL NETWORK:

A Multi-Layer Perceptron Feedforward network was designed and trained in Matlab for two types of data collected using the UWB Radar system and tested with the new dataset to test the accuracy of the trained Neural Networks.

•BANKING APPLICATION AND WEBSITE PHP, HTML

Implemented a banking application that interacts with a backend Oracle database containing 100,000 rows of custom-generated data. Developed a HTML and PHP based website with features customized for both Customer and Administrator user scenarios.

IMAGE PROCESSING C++

Implemented combination of contouring and skin detection algorithms in C++ to identify palm region for gesture recognition applications.

MOBILE UI WITH WEB CRAWLER AND ITS APPLICATION

Developed a web crawler and a web site in HTML5, CSS3 and JavaScript to compare product prices. Developed page layouts, navigation and concepts as per requirements.

FACE RECOGNITION USING ARTIFICIAL NEURAL NETWORKS: A neural network-based face detection system is a retinally connected neural network that examines small windows of an image, and decides whether each window contains a face. The system arbitrates between multiple networks to improve performance over a single network.

Awards and Honors

●Academic Excellence Award: Jun 2013

●Paper Presentation on Advanced Wireless Communications, University level technical festival - 1st/18

●Paper Presentation on Concentrated Solar Power in University Level technical festival – 3rd/45

Volunteerism

●Event Coordinator: CSU Fresno International Orientation Spring 2017

Certifications

Introduction to data structure and algorithms in Java by Raghavendra Dixit on Udemy

Contact this candidate