Mackenzie is the Global Startup Evangelist at AWS. His days are spent traveling the globe to meet startups, share their stories, and connect engineering teams together. Every day there are a large number of startups launching on AWS across every imaginable industry. It’s Mackenzie’s mission to find stories of startups that are helping to improve the world and share these stories with a wide audience.
Prior to joining AWS, Mackenzie was the Head of Technical Operations at Betterment, the world’s largest independent robo-advisor based in NYC which manages over $8B in assets. Mackenzie was a founding engineer and Head of Technical Operations at Oscar Health, an insurance startup also based in NYC, helping to grow the company to over 400+ employees.
Reserve your spot now for the east coast edition of Ray Connect: Scaling AI/ML.
At this half-day learning & networking event you will gain valuable insights on how leading organizations including Amazon, AWS, Netflix, and Clari solve real world problems to accelerate, scale, and simplify the development, training, and deployment of AI and ML workloads.
"The golden era of machine learning is taking place and AWS and Anyscale help companies build and scale AI/ML models the way they’re supposed to be: mature, reliable, easily scalable.” – Rob Ferguson, Global Head of AI/ML, AWS
Come learn and network with your peers. Light breakfast and lunch will be provided. Space is limited.
Please note that the AWS Startup Loft requires proof of vaccination and will be checking status upon entry.
Rob Ferguson, Global AI & ML Startups & VC, AWS
Rob will discuss how to accelerate AI/ML scaling and AI development with Anyscale and AWS.
Edward Oakes, Co-Author Learning Ray & Staff Software Engineer, Anyscale
Edward will share how leading companies benefit from key Ray and Anyscale features.
Max Mergenthaler, CEO & Co-Founder, Nixtla
Max will speak to NixtlaVerse at scale, bridging the gap between statistics and deep learning for time series and how to scale it using Ray.
Patrick Ames, Principal Engineer, Amazon
Patrick will discuss how Amazon improves efficiency by 90% while scaling AI workloads.
Drew Barclay, Software Engineer, Entrupy
Drew will share how Ray is used to enable scalable AI-powered solutions for luxury good
authentication - anytime, anywhere.
Attendees will receive a signed copy of the latest O’Reilly book, Learning Ray. Authored by senior Ray committers Edward Oakes, Richard Liaw, and Max Pumperla, Learning Ray covers how to build end-to-end machine learning applications using Ray. The book focuses on best practices for building Ray applications, centered around Ray’s unique advantages in developer productivity, application scalability and distributed scheduling.
