Timirah James

Global Developer Relations Leader |

Programmer |

Founder, TechniGal, Inc.

“Building community and inspiring change, one line of code at a time.”

Swift First Steps

Faces of Open Source Feature


Developer Education: Courses & Workshops

A course I created for developers to learn the fundamentals of building Swift applications for iOS, machine learning, and REST APIs. Sign up for this 3.5 hour course now on the O’Reilly Online Learning Platform below.


Speaking: Conferences

A few of the awesome conferences I’ve spoken at include:

  • O’Reilly’s Velocity Conference

  • O’Reilly’s OSCON

  • AltConf (WWDC)

  • ElaConf

  • DevRel Summit

  • Serverless Computing London

  • iOSDevUK

  • Connect.Tech

  • KubeCon EU

  • REFACTR.Tech

  • OpenSource 101 Conf

  • SmashingConf

… and many MORE!

Catch one of my many talks on serverless computing here!

Timirah James - "Function Composition in a Serverless World" | Serverless Computing Conf | London, UK (2019)


Building Community

Mobile Apps

Platform: iOS, watchOS, and tvOS

Platform: iOS, watchOS, and tvOS

Glo (formerly YogaGlo)

YogaGlo is a video streaming service for yoga, fitness, and wellness, with over 4,000 virtual classes, and 1 million+ users worldwide.

My role: Worked on an iOS team to rebuild and maintain the iOS app; I also built the watchOS and tvOS clients from the ground up.

Languages: Swift

Technologies/Frameworks: AVFoundation, UIKit, CoreLocation, Realm, HealthKit, WatchKit, CoreAudio

 

 
Platform: iOS

Platform: iOS

The Official BMikeRob App

The official mobile app for music exec./talent scout, Mike "BMike" Robinson. Known for discovering talent seen on networks such as BET, X-Factor. The app served as a central connection for artists and fans of BMike worldwide.

My role: I was the sole mobile engineer and UI Designer on this project, responsible for building this application end-to-end.

Languages: Objective-C, Swift

Technologies/Frameworks: AVFoundation, UIKit, MessageUI, Instagram API, Firebase

 

 
Platform: iOS

Platform: iOS

Clarifai API Demo: NSFW

Clarifai is an artificial intelligence company that uses machine learning and deep neural networks to identify and analyze images and videos. I created a NSFW photo filter that identifies photos from the user’s device that might be identified as inappropriate or vulgar.

My role: I was the sole mobile engineer and UI Designer on this project, responsible for building this application end-to-end.

Languages: Swift

Technologies/Frameworks: UIKit, Clarifai API, Photos Framework, PhotoBrowser (3rd Party)