Buşra Deniz started her mobile development career by developing Android application using Donut in university. After getting taste of mobile development, she added iOS to her toolbox. And now, she is a Software Engineer who has a keen interest in developing high-quality mobile applications by applying agile principles and methodologies, especially Scrum.
Currently, she is working on an international project as a Certificated Scrum Master and Mobile Engineer in Netas, to develop Android and iOS SDKs. Those SDKs allow other programmers to develop their applications, which are capable of voice call, video call and IM using Google WebRTC.
Besides being co-organizer in two different communities, Google Developer Group and WomenTechMakers İstanbul, she enjoys voluntarily organizing and speaking at developer events. She is especially devoted herself for gender equality and visibility of females in software development. Also, she believes in sharing knowledge and collaborating with the other people through these events, will come hand in hand with innovation and new perspectives. She always loves being part of a team and thinks that individual commitment to a team is the key to success. As a result of that she is a big fan of agile methodologies including Scrum, Kanban and XP.
She is also got excited almost every new technology in mobile platforms. And, as a software engineer, her goal is delivering software with high quality and robust architecture. In order to achieve that she highly relies on unit testing and mobile test automation.
Talk: Creating ML-powered applications
Each day we are hearing yet another application that announces a new cool feature powered by machine learning. It’s pretty exciting but when the time comes to deep diving into machine learning, it can be intimidating, especially if you don’t have machine learning background.
In this session, you will get the gist of newly announced MLKit & Tensorflow Lite. We’ll be learning about MLKit features and creating custom Tensorflow model and using it in app via MLKit