Griffin, ML Platform at Instacart
Speakers

As a software engineer specializing in machine learning, I have led the development of advanced training and inference platforms that have enhanced AI capabilities and streamlined processes. My expertise in MLOps has enabled me to build scalable solutions that drive innovation and deliver measurable results.

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

Mike is the co-founder of Tecton, where he is focused on building next-generation data infrastructure for Operational ML. Before Tecton, Mike was the PM lead for the Uber Michelangelo ML platform. He was also a product manager at Google where he managed the core ML systems that power Google’s Search Ads business.
SUMMARY
The conversation revolves around the journey of Instacart in implementing machine learning, starting from batch processing to real-time processing. Sahil highlights the importance of real-time processing for businesses and the relevance of Instacart's journey to other machine learning teams.
Sahil emphasizes the soft factors, such as staying customer-focused and the right approach, that contributed to the success of Instacart's machine learning implementation. We also recommend two blog posts by Sahil about Instacart's journey.

