Jogendra Kumar

iOS Developer and Maintainer

Fossasia•  November 2017 - Present

I am maintaining, designing and developing new features for the iOS Apps in Swift and managing Open Source contributions.

Google Summer of Code

Google•  April 2018 - August 2018

I worked on FOSSASIA's SUSI iOS App. SUSI AI is an intelligent Open Source personal assistant. SUSI AI Bots are built to enable users to chat with SUSI on different clients. • Implemented interactive features to the app such as 5-Start rating system, Feedback system, Onboarding screens, New actions support as well as Audio and Video capability. • Connect SUSI iOS client to SUSI Smart Speaker and establishing a connection without the help of internet • Collaborated with developers, reviewed co-developers code and fixed major issues of the app to ensure the app’s functionality

iOS Developer Intern

WheelStreet•  December 2017 - December 2017

• Effectively designed and implemented the iOS app for Wheelstreet – GO. (Available on App Store) • Worked with Google Maps and Places APIs. • Successfully completed the User Registration, Google Map Screen, User Profile, Booking and few other modules. • Used RESTful web-services to provide connections to backend services and handling data using parsers with JSON format. • Created application user interface (UI) using storyboard and ". xib" files, customizing views, navigation bars and controllers using the UIKit framework. • Proficiency in implementing design patterns such as MVC, MVVM architectures, Singleton, delegation, target-action along with other concepts like categories and protocols in Swift4. • Created reusable components that can be applied to iOS applications developed throughout the organization. • Programming Language Used: Swift 4.0, Tools Used: Xcode 9.0

Software Development Intern

Vertex Infosoft•  June 2017 - July 2017

• Worked on ASP.NET Web Forms(aspx), ASP.NET MVC, ADO.NET (for Sql Database), C# Windows Forms. • Text processing using iTextSharp library and Syncfusion Control. (Search,Extract,Highlight text within PDF) • Optical Character Recognition processing on scanned images, Pdfs and particular part of document. • Tools used: Microsoft Visual Studio, Microsoft Sql Server.