Tech @shift.com

Tech @shift.com

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Kalin Vera

Transform once, use everywhere; from computer science to data science with SageMaker Feature Store.

All machine learning models are as good as their input data. Majority of the internal products leverage 60% of somewhat same input…

Aug 29, 2021

Transform once, use everywhere; from computer science to data science with SageMaker Feature Store.

Aug 29, 2021

Hannah Briggs

Pixel Imperfect

In order to assess performance, customer-facing websites oftentimes necessitate tracking pixels/tags in order to gather analytics…

Apr 13, 2022

Chart showing 65% reduction in First Input Delay after removing marketing pixel

Apr 13, 2022

Hannah Briggs

Rails 7: Turbo-charging car shopping

How decomposing our key landing and shopping pages with turbo frames unlocked performance gains and helped us organize our code better.

Mar 24, 2022

Rails 7: Turbo-charging car shopping

Mar 24, 2022

Yuming Qiao

Unified Analytic Event Schema that Improves Backend, Frontend, and Data Scientists’ Productivity

Code generation to keep the analytic event schema synced between engineers and data scientists

Sep 1, 2021

Unified Analytic Event Schema that Improves Backend, Frontend, and Data Scientists’ Productivity

Sep 1, 2021

Yuming Qiao

Monitoring Amazon SageMaker Endpoint With Datadog

Amazon SageMaker and DataDog

Jul 25, 2021

Monitoring Amazon SageMaker Endpoint With Datadog

Jul 25, 2021

shift.com is a fast growing tech company based out of San Francisco. Established 2014, IPOed in 2020, and going strong. This publication includes essays from our distributed tech team on many topics.
Editors
Karan MG
CTO, Investor, Advisor
Aaron Chu
A startup veteran working in Engineering, DevOps, IT and Security since 2003. I love being a part of transformative technology and the culture around it.
Benjamin Edgar

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