Rakshit leads the engineering team at Camio and focuses on Machine Learning and Computer Vision. His expertise spans AI, Machine Learning, Crowdsourcing, HCI, ICTD and AI for Social Good. Rakshit is a trusted subject matter expert and has worked on neural networks, security and AI for Microsoft, Nvidia and eBay. He received his PhD in Computer Science from the University of California, Santa Cruz.
This session will present real-world deployments of computer vision solutions using Kubernetes and show how containerization enables continuous AI updates on a massive scale at the edge. Housing the code, dependencies and environment in one logical, portable block, container enable AI applications to run across different platforms, toolsets and chipsets. This speeds deployments of new applications by 10x or more, and makes the development, packaging and deployment process predictable and consistent. Attendees will hear how a Kubernetes-driven video processing pipeline trained new models for a multinational fuel dispenser manufacturer in days using existing source data, then deployed by adding a new container to a cluster at the edge. These new models enabled the company to detect physical problems like gas nozzles left in vehicles and gauge the effectiveness of on-site dispenser marketing initiatives within weeks of the capabilities request.
[email protected]’ Carlo Dal Mutto & Konstantinos Balafas talk MLOps at the Embedded Vision Summit. Join the discussion and save 10% on passes with code SUMMIT22-TW10 when you register. Full abstract, Summit info & reg: https://embeddedvisionsummit.com/dal-mutto-balafas/
Learn how to speed up development and deployment using Kubernetes at the session by [email protected]’s VP of Research and Development, Rakshit Agrawal’s session. Full abstract, Summit info & reg: https://embeddedvisionsummit.com/rakshit-agrawal/ Save 10% on passes with code SUMMIT22-TW10 when you register.