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MLOps at DoorDash

Posted Aug 30, 2022 | Views 1.4K
# DoorDash
# Leverage
# Core Infrastructures
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SPEAKERS
Hien Luu
Hien Luu
Hien Luu
Head of ML Platform @ DoorDash

Passionate AI/ML engineering leader, building scalable AI/ML/LLM infrastructure to power real-world applications. Author of the Beginning Apache Spark 3 book. Speaker at MLOps World, QCon (SF,NY, London), GHC 2022, Data+AI Summit, XAI 21 Summit, YOW Data!, appy().

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Passionate AI/ML engineering leader, building scalable AI/ML/LLM infrastructure to power real-world applications. Author of the Beginning Apache Spark 3 book. Speaker at MLOps World, QCon (SF,NY, London), GHC 2022, Data+AI Summit, XAI 21 Summit, YOW Data!, appy().

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Demetrios Brinkmann
Demetrios Brinkmann
Demetrios Brinkmann
Chief Happiness Engineer @ MLOps Community

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.

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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.

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Skylar Payne
Skylar Payne
Skylar Payne
Machine Learning Engineer @ HealthRhythms

Data is a superpower, and Skylar has been passionate about applying it to solve important problems across society. For several years, Skylar worked on large-scale, personalized search and recommendation at LinkedIn -- leading teams to make step-function improvements in our machine learning systems to help people find the best-fit role. Since then, he shifted my focus to applying machine learning to mental health care to ensure the best access and quality for all. To decompress from his workaholism, Skylar loves lifting weights, writing music, and hanging out at the beach!

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Data is a superpower, and Skylar has been passionate about applying it to solve important problems across society. For several years, Skylar worked on large-scale, personalized search and recommendation at LinkedIn -- leading teams to make step-function improvements in our machine learning systems to help people find the best-fit role. Since then, he shifted my focus to applying machine learning to mental health care to ensure the best access and quality for all. To decompress from his workaholism, Skylar loves lifting weights, writing music, and hanging out at the beach!

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SUMMARY

Machine Learning plays a big part at DoorDash in terms of what they do on a daily basis. It powers many of their core infrastructures.

When it comes to DoorDash's business, they have to be leveraging machine learning and it is such a huge piece of the business that it is critical.

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