Software Engineer
Resume:
TABITHA SHAKINA
** ***** ***** *****, *******, MN, 56003
***************@*****.***
PROFILE SUMMARY
Passionate Software Engineer with professional experience in software development, integration, support, design and testing of Mobile and web applications.
• Working experience in designing and developing APIs.
• Good verbal and written communication skills with the ability to work as a part of a team as well as an individual contributor.
• Strong Application development skills in Android and Web.
• Good understanding of Object Oriented Analysis and Design (OOAD) and Programming
(OOP) concepts, Design Patterns and their application in software development.
• Ability and Enthusiasm to learn new technologies.
• Authorized to work for any employer in the United States.
TECHNICAL SKILLS
Programming Languages : Java, Python, C#, C++
Operating Systems : Linux, Windows, Mac
Database : MySql
Web Technologies : HTML, Javascript, jQuery, Ajax
IDEs : Android Studio, Visual Studio
Cloud Platforms : AWS
Build Tools : Maven, Gradle
Version Control : Github
EDUCATION
• Masters, Computer Science, JNTU, India 2016
• Bachelors, Computer Technology, RTM Nagpur University, India 2014 PROFESSIONAL OVERVIEW
Mobile App Developer
Belle Plaine Festivals and Events — Belle Plaine, MN Nov 2019 to Present Belle Plaine Festivals and Events puts on community events to promote, encourage, support, and foster the community of Belle Plaine. My role is to build event registration apps in Android and in iOS for events hosted by the organization; and also to build a web application for the admin to manage all the events that are available in the app. Responsibilities:
• Working on developing a cross platform mobile application using Xamarin for Belle Plaine Festivals and Events to let users volunteer, view upcoming events, register and pay for an event and get involved.
• Working on creating a web application for the admin to create/modify events and other details.
• Working on creating REST APIs to be consumed both by mobile and web applications.
• Working on server side scripting using Python and MySql.
• Worked on EC2 instance configuration; used NGINX web server.
• Used Visual Studio 2019 for building cross platform application in Xamarin Forms. Software Developer
Jochebed Tech Solutions — Hyderabad, India Jan 2017 to Feb 2019 Jochebed Tech Solutions is a custom IoT software development company that offers great range of IoT services and develops mobile apps, middleware & low-level, back end and front end solutions integration, analytics and infrastructure services. Responsibilities:
• Created 5+ mobile and web applications.
• Handled various technical aspects like coding of modules using the given design specifications, debugging and fixing the defects as well as analyzing its root cause.
• Used the libraries Retrofit and Volley in Android app development.
• Worked with a mixed team of software and embedded system developers to build an application for Home Automation that talks to IoT devices (using MQTT and HTTP protocols) to view or change their current status using mobile devices.
• Created SQL database structures and developed APIs that integrate with mobile applications and web interfaces.
• Worked in all phases of the project including design, development, testing and deployment.
• Modified existing software to correct errors, upgrade interfaces and improve performance.
• Worked efficiently with design team to ensure software solutions elevated client side experience.
• Collaborated closely with other team members to plan, design and develop robust solutions. Associate Software Developer
G.R.I.E.T. — Hyderabad, India June 2015 to May 2016 Assisted in measuring Semantic Textual Similarity (STS) which is one of the fundamental tasks for many NLP (Natural Language Processing) applications. Responsibilities:
• Implemented modules using SEMILAR (A SEMantic SimiLARityToolkit) which provides a library to access the similarity methods.
• Implemented methods that measure similarity using WordNet which uses the information found in the lexical database and finds the semantic similarity and related measure.
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