Enabling vision AI at the edge with Ultralytics and Axelera AI

Francesco Mattioli is Partnerships & Ecosystem Manager at Ultralytics, where he leads technical partnerships and works to make YOLO models run seamlessly everywhere, from small sensors and embedded systems to cloud platforms. With a background spanning cognitive neuroscience and machine learning in startups and academia, he focuses on the real-world deployment, performance, and scalability of state-of-the-art computer vision. He has represented Ultralytics at major industry events including CES 2026 and Mobile World Congress 2026 in Barcelona.

A-Tang Fan is a Principal Software Engineer and Engineering Manager at Axelera AI, where he architects customer-facing SDKs that make edge AI more accessible to model developers. Before Axelera, he held customer solutions and field application engineering roles at Blaize and worked as an embedded and senior software engineer at Samba TV. His background spans computer vision, machine learning, and embedded systems, bridging research with practical software design.

Lakshantha Dissanayake is an Embedded Computer Vision Engineer at Ultralytics, where he advances the performance, scalability, and real-world deployment of state-of-the-art computer vision models. Based in Vancouver, Canada, he has years of experience working with embedded devices such as NVIDIA Jetson, Raspberry Pi, and Edge TPU, drawing on a prior role as an Application Engineer at Seeed Studio. He regularly produces technical content and runs workshops, and has delivered talks at events such as Maker Faire Shenzhen on using vision AI for sustainable solutions.

Siarhei Rassafonau is a Lead AI Engineer at Innowise, specializing in computer vision, MLOps, and multimodal systems. He has extensive experience designing and deploying high-precision algorithms and building scalable AI infrastructure, and has led technical teams delivering solutions across domains including agriculture, healthcare, and industrial automation.

Steven Hunsche is a Senior AI Solutions Engineer at Axelera AI, where he combines technical expertise in electronics, computer science, and machine learning with customer-facing work building demos, finding new product applications, and supporting customers and the developer community. He holds a Master of Engineering in Embedded Systems from Eindhoven University of Technology and previously worked at GrAI Matter Labs, Topic Embedded Products, and Bosch Security Systems.