Maxim Gurevich

Software Engineer at Tecton - San Francisco, CA, US

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Tecton
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Tecton

San Francisco, CA, US • 50 - 99 Employees
SaaS

Founded by the team that created the Uber Michelangelo platform, Tecton provides an enterprise-ready feature store to make world-class machine learning accessible to every company. Machine learning creates new opportunities to generate more value than ever before from data. Companies can now build ML-driven applications to automate decisions at machine speed, deliver magical customer experiences, and re-invent business processes. But ML models will only ever be as good as the data that is fed to them. Today, it's incredibly hard to build and manage ML data. Most companies don't have access to the advanced ML data infrastructure that is used by the internet giants. So ML teams spend the majority of their time building custom features and bespoke data pipelines, and most models never make it to production. We believe that companies need a new kind of data platform built for the unique requirements of ML. Our goal is to enable ML teams to build great features, serve them to production quickly and reliably, and do it at scale. By getting the data layer for ML right, companies can get better models to production faster to drive real business outcomes.

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Maxim Gurevich currently works for Tecton.
Maxim Gurevich's role at Tecton is Software Engineer.
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Maxim Gurevich works in the Computer Software industry.
Maxim Gurevich's colleagues at Tecton are Matt Bleifer, Oleg Avdeev, Tsotne Tabidze, Brian F., Daryl Neubieser, Jacob Klegar, Michael Eastham and others.
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