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Feature Store Master Class

Posted Jan 19, 2021 | Views 584
# Feature Store
# about.rappi.com
# Intuit.com
# ifood.com.br
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SPEAKERS
Daniel Galinkin
Daniel Galinkin
Daniel Galinkin
Head of Machine Learning Engineering @ iFood

Daniel is one of the co-founders of Hekima, one of the first companies in Brazil to work with big data and data science, with over 10 years of experience in the field. At Hekima, Daniel was amongst the people responsible for dealing with infrastructure and scalability challenges. After iFood acquihired Hekima, he became the ML Platform Tech Lead for iFood.

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Daniel is one of the co-founders of Hekima, one of the first companies in Brazil to work with big data and data science, with over 10 years of experience in the field. At Hekima, Daniel was amongst the people responsible for dealing with infrastructure and scalability challenges. After iFood acquihired Hekima, he became the ML Platform Tech Lead for iFood.

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Matias Dominguez
Matias Dominguez
Matias Dominguez
Tech Lead @ Rappi

29 year old living in Buenos Aires, past 4.5 years working on fraud prevention. Previously @ MercadoLibre and other random smaller consulting shops.

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29 year old living in Buenos Aires, past 4.5 years working on fraud prevention. Previously @ MercadoLibre and other random smaller consulting shops.

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Simarpal Khaira
Simarpal Khaira
Simarpal Khaira
Senior Product Manager @ Intuit

Simarpal is the product manager driving product strategy for Feature Management and Machine Learning tools at Intuit. Prior to Intuit, he was at Ayasdi, a machine learning startup, leading product efforts for machine learning solutions in the financial services space. Before that he worked at Adobe as a product manager for Audience Manager, a data management platform for digital marketing

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Simarpal is the product manager driving product strategy for Feature Management and Machine Learning tools at Intuit. Prior to Intuit, he was at Ayasdi, a machine learning startup, leading product efforts for machine learning solutions in the financial services space. Before that he worked at Adobe as a product manager for Audience Manager, a data management platform for digital marketing

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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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Vishnu Rachakonda
Vishnu Rachakonda
Vishnu Rachakonda
Data Scientist @ Firsthand

Vishnu Rachakonda is the operations lead for the MLOps Community and co-hosts the MLOps Coffee Sessions podcast. He is a machine learning engineer at Tesseract Health, a 4Catalyzer company focused on retinal imaging. In this role, he builds machine learning models for clinical workflow augmentation and diagnostics in on-device and cloud use cases. Since studying bioengineering at Penn, Vishnu has been actively working in the fields of computational biomedicine and MLOps. In his spare time, Vishnu enjoys suspending all logic to watch Indian action movies, playing chess, and writing.

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Vishnu Rachakonda is the operations lead for the MLOps Community and co-hosts the MLOps Coffee Sessions podcast. He is a machine learning engineer at Tesseract Health, a 4Catalyzer company focused on retinal imaging. In this role, he builds machine learning models for clinical workflow augmentation and diagnostics in on-device and cloud use cases. Since studying bioengineering at Penn, Vishnu has been actively working in the fields of computational biomedicine and MLOps. In his spare time, Vishnu enjoys suspending all logic to watch Indian action movies, playing chess, and writing.

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SUMMARY

Vishnu, David, and Demetrios recorded an epic panel around the hottest topic of the times; Feature Stores! Tho Who We had an all-star cast composed of Daniel Galinkin, Matias Dominguez and Simarpal Khaira all chiming in on what and how they feel about this whole feature store paradigm and why it's worth it to have a deeper look. The Why The whole reason for this conversation came from a conversation Matias and Demetrios were having around the idea of if he and his company even needed a feature store. At what point does the architecture that you have in place need to evolve, and what are the pros and cons of that evolution. The Where We will let you all decide if we had too many people on the call or you like the panel discussion format! Let us know if we should do more like this!

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