Srivathsan Canchi's guest appearances

Srivathsan Canchi

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

MLOps.community 

Ketan Umare

Emmanuel Ameisen

Josh Tobin

Jeremy Howard

Diego Oppenheimer

Robert Munro

D. Sculley

Dario Amodei

Jianxiong Xiao

Kate Darling

Jason Holmberg

Lotte Bransen

Christopher Berner

David Spiegelhalter

Kristen Grauman

OwlTail

Alex Chung

Coffee Sessions #50 with Alex Chung and Srivathsan Canchi, Creating MLOps Standards.  // Abstract With the explosion in tools and opinionated frameworks for machine learning, it's very hard to define standards and best practices for MLOps and ML platforms. Based on their building AWS SageMaker and Intuit's ML Platform respectively, Alex Chung and Srivathsan Canchi talk with Demetrios and Vishnu about their experience navigating "tooling sprawl". They discuss their efforts to solve this problem organizationally with Social Good Technologies and technically with mlctl, the control plane for MLOps.  // Bio Alex Chung Alex is a former Senior Product Manager at AWS Sagemaker and an ML Data Strategy and Ops lead at Facebook. He's passionate about the interoperability of MLOps tooling for enterprises as an avenue to accelerate the industry.  Srivathsan Canchi Srivathsan leads the machine learning platform engineering team at Intuit. The ML platform includes real-time distributed featurization, scoring, and feedback loops. He has a breadth of experience building high scale mission-critical platforms. Srivathsan also has extensive experience with K8s at Intuit and previously at eBay, where his team was responsible for building a PaaS on top of K8s and OpenStack.  --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register  Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Vishnu on LinkedIn: https://www.linkedin.com/in/vrachakonda/ Connect with Alex on LinkedIn: https://linkedin.com/in/alex-chung-gsd Connect with Sri on LinkedIn: https://www.linkedin.com/in/srivathsancanchi/  Timestamps: [00:00] Introduction to Alex Chung and Srivathsan Canchi [01:36] Alex's background in tech [03:07] Srivathsan's background in tech [04:36] What is SGT? [05:53] 3 Categories of SGT            1. Education            2. Standardization            3. Orchestration   [07:00] Standardization is desirable [13:03] Perspective from both sides   [13:39] Profile breakdown of Standardization [17:20] Importance of Standardization in enterprise [21:02] Tooling sprawl [24:04] Standardizing the different interfaces between MLOps tools [31:54] mlctl [33:35] mlctl's future [38:38] How mlctl helps the workflow of Intuit [41:00] CIGS evolve the different spaces

Coffee Sessions #50 with Alex Chung and Srivathsan Canchi, Creating MLOps Standards. // Abstract With the explosion in tools and opinionated frameworks for machine learning, it's very hard to define standards and best practices for MLOps and ML platforms. Based on their building AWS SageMaker and Intuit's ML Platform respectively, Alex Chung and Srivathsan Canchi talk with Demetrios and Vishnu about their experience navigating "tooling sprawl". They discuss their efforts to solve this problem organizationally with Social Good Technologies and technically with mlctl, the control plane for MLOps. // Bio Alex Chung Alex is a former Senior Product Manager at AWS Sagemaker and an ML Data Strategy and Ops lead at Facebook. He's passionate about the interoperability of MLOps tooling for enterprises as an avenue to accelerate the industry. Srivathsan Canchi Srivathsan leads the machine learning platform engineering team at Intuit. The ML platform includes real-time distributed featurization, scoring, and feedback loops. He has a breadth of experience building high scale mission-critical platforms. Srivathsan also has extensive experience with K8s at Intuit and previously at eBay, where his team was responsible for building a PaaS on top of K8s and OpenStack. --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Connect with Demetrios on LinkedIn: <a href="https://www.linkedin.com/in/dpbrinkm/" rel="nofollow" target="_blank">https://www.linkedin.com/in/dpbrinkm/</a> Connect with Vishnu on LinkedIn: <a href="https://www.linkedin.com/in/vrachakonda/" rel="nofollow" target="_blank">https://www.linkedin.com/in/vrachakonda/</a> Connect with Alex on LinkedIn: <a href="https://linkedin.com/in/alex-chung-gsd" rel="nofollow" target="_blank">https://linkedin.com/in/alex-chung-gsd</a> Connect with Sri on LinkedIn: <a href="https://www.linkedin.com/in/srivathsancanchi/" rel="nofollow" target="_blank">https://www.linkedin.com/in/srivathsancanchi/</a> Timestamps: [00:00] Introduction to Alex Chung and Srivathsan Canchi [01:36] Alex's background in tech [03:07] Srivathsan's background in tech [04:36] What is SGT? [05:53] 3 Categories of SGT            1. Education            2. Standardization            3. Orchestration   [07:00] Standardization is desirable [13:03] Perspective from both sides   [13:39] Profile breakdown of Standardization [17:20] Importance of Standardization in enterprise [21:02] Tooling sprawl [24:04] Standardizing the different interfaces between MLOps tools [31:54] mlctl [33:35] mlctl's future [38:38] How mlctl helps the workflow of Intuit [41:00] CIGS evolve the different spaces

Creating MLOps Standards // Alex Chung and Srivathsan Canchi // MLOps Coffee Sessions #50

Today we continue our re:Invent series with Srivathsan Canchi, Head of Engineering for the Machine Learning Platform team at Intuit.  As we teased earlier this week, one of the major announcements coming from AWS at re:Invent was the release of the SageMaker Feature Store. To our pleasant surprise, we came to learn that our friends at Intuit are the original architects of this offering and partnered with AWS to productize it at a much broader scale. In our conversation with Srivathsan, we explore the focus areas that are supported by the Intuit machine learning platform across various teams, including QuickBooks and Mint, Turbotax, and Credit Karma,  and his thoughts on why companies should be investing in feature stores.  We also discuss why the concept of “feature store” has seemingly exploded in the last year, and how you know when your organization is ready to deploy one. Finally, we dig into the specifics of the feature store, including the popularity of graphQL and why they chose to include it in their pipelines, the similarities (and differences) between the two versions of the store, and much more! The complete show notes for this episode can be found at twimlai.com/go/438.

Today we continue our re:Invent series with Srivathsan Canchi, Head of Engineering for the Machine Learning Platform team at Intuit.  As we teased earlier this week, one of the major announcements coming from AWS at re:Invent was the release of the SageMaker Feature Store. To our pleasant surprise, we came to learn that our friends at Intuit are the original architects of this offering and partnered with AWS to productize it at a much broader scale. In our conversation with Srivathsan, we explore the focus areas that are supported by the Intuit machine learning platform across various teams, including QuickBooks and Mint, Turbotax, and Credit Karma,  and his thoughts on why companies should be investing in feature stores.  We also discuss why the concept of “feature store” has seemingly exploded in the last year, and how you know when your organization is ready to deploy one. Finally, we dig into the specifics of the feature store, including the popularity of graphQL and why they chose to include it in their pipelines, the similarities (and differences) between the two versions of the store, and much more! The complete show notes for this episode can be found at <a href="https://twimlai.com/go/438" rel="nofollow" target="_blank">twimlai.com/go/438</a>.

ML Feature Store at Intuit with Srivathsan Canchi - #438