Building AI at Scale: Shopsense's High-Performance Data Pipeline

Join Shopsense's Founding Engineer Sam for a technical deep dive into their distributed ingestion system - the backbone that processes hundreds of millions of product SKUs across thousands of retailers. Learn how Shopsense architected a high-performance pipeline using the Ray framework, enabling their suite of AI technologies to operate at enterprise scale.
Sam will walk through the challenges and solutions of building a resilient distributed system, sharing practical insights on using Ray for parallel processing and resource management. The talk will also cover how this robust ingestion infrastructure powers Shopsense's AI technologies, including their computer vision and machine learning systems, and how the architecture decisions made in the pipeline directly impact AI performance in production.

About the speaker:

Specializing in the strategic development and scaling of solutions within Computer Vision and Machine Learning, Sam is a recognized leader known for delivering impactful solutions. As Founding Engineer at Shopsense AI, an innovative startup featured by TechCrunch and CNBC, he drives the engineering vision for AI-powered solutions that connect television audiences with top retailer brands. Prior to joining Shopsense, Sam led high-impact teams at CarMax, focused on Computer Vision and Generative Large Language Models, driving substantial revenue growth while significantly reducing infrastructure costs.