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Ravi Trivedi

Ravi Trivedi was a founding engineer at Tecton and now leads the Feature Engineering team. Before joining Tecton, Ravi was a Staff Software Engineer at Google, where he was the tech lead for search microservice logging infrastructure that powers Google Image Search, Google Flights & Hotels, and many other Search sub-products. He holds a Bachelor’s of Applied Science in Engineering Science, Computer & Electrical Engineering from the University of Toronto.

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How to Integrate With Tecton

March 29, 2023 by Ravi Trivedi

Learn how to seamlessly integrate your existing data infrastructure with Tecton to leverage powerful feature platform capabilities.

TutorialsIntegrations

Scaling Tecton’s Data Engineering Team

February 2, 2022 by Ravi Trivedi

2021 was a big year for Tecton! Our mission is to bring ML intelligence to every production application, which starts with the world’s best enterprise feature store to power machine learning. We made huge strides towards this mission:​​ …

Engineering

Tecton’s Security & Compliance Journey to SOC 2 Type 2

October 26, 2021 by Ravi Trivedi

Learn more about Tecton's journey to gaining customer and user trust, from the early days to receiving our SOC 2 Type 2 report.

EngineeringAnnouncements

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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.

CTA link

or

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Contact Sales

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