Etienne started his career as a back-end developer and pivoted to mobile development in the early 2010s. He worked on all tiers (server, web, mobile, and embedded) of large-scale software platforms and is currently a freelance software development consultant.
– Developer on the Nina™ Mobile speech recognition SDK for Nuance Communications
– Android team lead on TrueKey™ password management app for Intel / McAfee.
– Senior Android developer on Hatchful™ Logo Maker, Shopify.
– Staff developer for e-commerce store management application, Shopify.
Since pivoting to mobile development, Etienne has been an active community member and regularly devotes his time to mentoring startups, developers and students in the space. He lives in Montreal with his wife and daughter and speaks French and English fluently.
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Off to the Races with Android
With the advent of modern 5G, single digits millisecond network latency is no longer a pipe dream, and on public networks, you can typically get 40ms to 50ms latency. To create buzz around these performance numbers, Bell 5G/MEC Innovation Lab came to us with an exciting project proposition: Create a remote-presence, high-performance model car racing experience for the Montreal Formula One Grand Prix.
We will present our approach to building this unique experience using cutting-edge technologies such as computer vision, machine learning and real-time communication. We’ll discuss the technical challenges we faced and our solutions. Our core pillar is an Android phone controlling customized microcontrollers over USB integrating multiple sensors. Supervising the races, an overseeing machine-learning model. We’ll also have a rare look into the cell network hardware needed to keep everything responsive and exciting.
This talk should be of interest to Android developers, robotics and IoT enthusiasts, as well as ML specialists looking for novel ways to combine the use of these technologies.
