Sep 9–12, 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

4:50pm–5:30pm Wednesday, September 11, 2019

Location: Expo Hall 3

Deep learning on mobile

Implementing AI

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

Siddha Ganju (NVIDIA), Meher Kasam (Square)

Average rating:

(5.00, 2 ratings)

Over the last few years, convolutional neural networks (CNNs) have risen in popularity, especially in the area of computer vision. However, CNNs are by nature computationally and memory intensive, making them challenging to deploy on a mobile device. Siddha Ganju and Meher Kasam examine optimizing deep neural nets to run efficiently on mobile devices. Read more.