14–17 Oct 2019

Meher Kasam
iOS Software Engineer, Square

Meher Kasam is an iOS software engineer at Square and is a seasoned software developer with apps used by tens of millions of users every day. He’s shipped features for a range of apps from Square’s point of sale to the Bing app. Previously, he worked at Microsoft, where he was the mobile development lead for the Seeing AI app, which has received widespread recognition and awards from Mobile World Congress, CES, FCC, and the American Council of the Blind, to name a few. A hacker at heart with a flair for fast prototyping, he’s won close to two dozen hackathons and converted them to features shipped in widely used products. He also serves as a judge of international competitions including the Global Mobile Awards and the Edison Awards.

Sessions

11:55–12:35 Thursday, 17 October 2019

Location: Westminster Suite

Deep learning on mobile

Implementing AI

Secondary topics: Computer Vision, Deep Learning, Deep Learning tools, Hardware, Machine Learning tools, Mobile Computing, IoT, Edge

Siddha Ganju (NVIDIA), Meher Kasam (Square)

Average rating:

(4.80, 5 ratings)

Over the last few years, convolutional neural networks (CNNs) have risen in popularity, especially in the area of computer vision. Many mobile applications running on smartphones and wearable devices would benefit from the new opportunities enabled by deep learning techniques. Siddha Ganju and Meher Kasam walk you through optimizing deep neural nets to run efficiently on mobile devices. Read more.