---
markdown_generated_at: "2026-11-04"
title: "droidcon NYC 2024"
url: "https://www.qualcomm.com/company/events/droidcon2024nyc"
---

# droidcon NYC 2024

## Meet Team Qualcomm at droidcon NYC 2024

Qualcomm is proud to be a [Gold Sponsor](https://nyc.droidcon.com/sponsors/) of Droidcon NYC 2024. [Join us](https://nyc.droidcon.com/tickets/) at droidcon New York to connect with the vibrant Android developer community. This is a fantastic opportunity to network with fellow developers, exchange knowledge, and discover new techniques in the field. Visit us at our Expert Meet-up booth #14 and [explore technical sessions](https://nyc.droidcon.com/agenda/) below:

## Technical talk

### Accelerating On-Device AI Development with Qualcomm AI Hub

Thursday, 9/19 - 12:10pm

Are you ready to enhance your applications with on-device AI capabilities? Introducing Qualcomm's AI Hub, designed to streamline your workflow effortlessly in under 5 minutes.

AI Hub simplifies model compilation and facilitates real-time performance testing on Snapdragon and Qualcomm devices with just 5 lines of code. Featuring a robust library of over 100 pre-optimized models, AI Hub accommodates custom models while ensuring stringent data privacy.

Whether you're crafting the next breakthrough in social media or enhancing your current app's functionalities, Qualcomm AI Hub is here to take on running AI edge devices, up to 4x faster, so you can build your ultimate solution for intelligent and efficient app development.

Join us to learn how AI Hub can empower your on-device AI initiatives.

`https://s7d1.scene7.com/is/image/dmqualcommprod/siddhika?$QC_Responsive$&fmt=png-alpha`

[Siddhika Nevrekar](https://nyc.droidcon.com/siddhika-nevrekar/)

## Workshop

### How to use Qualcomm AI Hub for On-Device AI models

Thursday, 9/19 - 2:35pm

In this workshop we address the common challenges faced by developers migrating AI workloads from the cloud to edge devices. Qualcomm aims to democratize AI at the edge, easing the transition to the edge by supporting familiar frameworks and data types.

In this session, developers can follow along, gaining knowledge and tools to efficiently deploy optimized models on real devices using Qualcomm AI Hub.

We'll walk through how to get started using Qualcomm AI Hub, iterate on your model and meet performance requirements to deploy on device! We'll show examples on how to optimize models and bundle the downloadable target asset into your application.

`https://s7d1.scene7.com/is/image/dmqualcommprod/meghan-250?$QC_Responsive$&fmt=png-alpha`

[Meghan Stronach](https://nyc.droidcon.com/meghan-stronach/)

Meghan is a PM on Qualcomm AI Hub. Born and raised in the Toronto area, she graduated from the University of Waterloo in Management Engineering and has spent her time at companies of various sizes from Apple to startups and now Qualcomm. She enjoys working with teams ensuring the most effective decision is made and talking with customers to unblock their adoption of ML on device.

`https://s7d1.scene7.com/is/image/dmqualcommprod/shreya-250?$QC_Responsive$&fmt=png-alpha`

[Shreya Jain](https://nyc.droidcon.com/Shreya-Jain/)

Shreya has a bachelor’s in computer science from BITS Pilani in India and Masters in Machine Learning from Columbia University in New York. She worked at Apple in enabling user experiences on device with machine learning algorithms. She has also worked for a startup where she learnt a lot more about deploying machine learning models on device especially as Gen AI was catching popularity. At Qualcomm, with AI Hub & AI Hub Models, she aims to help developers deploy any model they wish as part of their app on Snapdragon chips.