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 west 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.
Robert Nishihara, Co-founder and CEO, Anyscale
Robert will share how leading companies benefit from key Ray and Anyscale features.
Holden Karau, Open Source Engineer, Netflix
Holden will share how Netflix scales ML workloads and speeds AI innovation on Ray.
Patrick Ames, Principal Engineer, Amazon
Patrick will discuss how Amazon improves efficiency by 90% while scaling AI workloads.
M Waleed Kadous, Head of Engineering, Anyscale
Waleed will discuss recent advances and progress for supporting Generative AI & Large Language Models on Ray