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Virtual Talk AI-Assisted ML Engineering: Making Production ML Accessible with Cursor, MCP, & Tecton Watch Now

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Kevin Stumpf

Kevin is the CTO and co-founder of Tecton, where he leads the product team that’s building a next-generation feature platform for real-time machine learning. Kevin and his co-founder, CEO Mike Del Balso, built deep expertise in operational ML platforms while at Uber, where they created the Michelangelo platform that enabled Uber to scale from 0 to 1000s of applications in just a few years. Prior to Uber, Kevin founded Dispatcher, with the vision to build the Uber for long-haul trucking. He holds an MBA from Stanford University and a Bachelor’s Degree in Computer & Management Sciences from the University of Hagen. Outside of work, Kevin is a passionate long-distance endurance athlete.

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Introducing AI-Assisted Feature Engineering with Cursor & MCP

April 17, 2025
Kevin Stumpf

Learn how AI-assisted feature engineering with Tecton and Cursor is democratizing ML development, making sophisticated real-time applications accessible to more companies with less technical expertise required.

GenAIEngineeringIntegrationsThought LeadershipFeature Platforms

Expanding Tecton to Activate Data for GenAI

September 17, 2024
Kevin Stumpf Mike Del Balso

Tecton's expanded platform now provides unified support for predictive ML and generative AI, enabling organizations to build rich, context-aware AI applications that leverage diverse data types.

GenAIAnnouncementsFeature Platforms

Introducing Tecton 0.8: Seamless Machine Learning Feature Development With Unparalleled Performance & Cost

January 18, 2024
Kevin Stumpf

Learn how Tecton 0.8 can improve performance and lower infrastructure costs by up to 100x, provide ways to develop new types of machine learning features, and more in this blog post.

Product UpdatesAnnouncements

What Is a Feature Platform for Machine Learning?

July 8, 2022
Kevin Stumpf

Tecton CTO Kevin Stumpf explains in this post the differences between a feature store and feature platform for machine learning.

Operational & Real-Time Machine LearningFeature Platforms

What Is Operational Machine Learning?

May 26, 2022
Kevin Stumpf

In this post, Kevin Stumpf, CTO of Tecton, describes what operational ML really is and gives practical examples to understand how it works.

Operational & Real-Time Machine LearningThought Leadership

Our Culture and Values

April 18, 2022
Kevin Stumpf

Before starting Tecton, Mike and I were at Uber for several years. Uber had a unique culture. It motivated people to work hard, move fast, and build a business that impacts millions of people at incredible speed. But it also created an environment …

Company Culture

Building Production-Ready Machine Learning Features on Snowflake with Tecton’s Feature Store

March 26, 2022
Kevin Stumpf Matt Bleifer

We are excited to announce the integration of Tecton’s enterprise feature store and Feast, the popular open source feature store, with Snowflake. The integration, available in preview to all Snowflake customers on AWS, will enable data teams to …

Partners & IntegrationsAnnouncements

2021 at Tecton: A Year in Review

December 29, 2021
Kevin Stumpf

2021 is a wrap, and what a year it has been! As we head into the New Year, I want to take a look back at what we’ve accomplished this year and share with you some of the things I expect for 2022. Tecton has experienced a huge amount of growth this …

Company CultureThought Leadership

Real-Time Aggregation Features for Machine Learning (Part 2)

June 2, 2021
Kevin Stumpf Mike Eastham Nikhil Simha

In the following sections, we describe an approach to solving these challenges that we’ve proven out at scale at Tecton, and that has been used successfully in production at Airbnb and Uber for several years. The discussed approach explains …

TutorialsEngineering

Real-Time Aggregation Features for Machine Learning (Part 1)

June 2, 2021
Kevin Stumpf Mike Eastham Nikhil Simha

Machine Learning features are derived from an organization’s raw data and provide a signal to an ML model. A very common type of feature transformation is a rolling time window aggregation. For example, you may use the rolling 30-minute order count …

TutorialsEngineering

Data Software-as-a-Service: The Case for a Hybrid Deployment Architecture

March 17, 2021
Kevin Stumpf

Lior Gavish & Kevin Stumpf As founders of companies that build solutions designed to help teams deliver on the promise of data, we knew we wanted to build great products that are easy to deploy and manage for our customers.  We also knew …

Thought Leadership

Why We Need DevOps for ML Data

April 28, 2020
Kevin Stumpf

Getting machine learning (ML) into production is hard. In fact, it’s possibly an order of magnitude harder than getting traditional software deployed. As a result, most ML projects never see the light of production-day and many organizations simply …

Thought Leadership

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Book a Demo

Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

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Interested in trying Tecton? Leave us your information below and we’ll be in touch.​

Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

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or

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Request a free trial

Interested in trying Tecton? Leave us your information below and we’ll be in touch.​

Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

CTA link

or

CTA button