Developer Productivity Articles

  • Under the hood: How we built API versioning for LinkedIn Marketing APIs

    June 14, 2022

    Co-authors: Nihit Purwar, Demian Lessa, and Shruthi Jeganathan At LinkedIn, the goal of our API team is to create a world-class platform that enables partners to build, run, and grow sustainable businesses. Developers use our Marketing APIs to build new and innovative solutions that complement LinkedIn Marketing Solutions and enable marketers to achieve more....

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    One-stop MLOps portal at LinkedIn

    May 19, 2022

    Co-authors: Eing Ong, Shannon Bain, and Daniel Qiu What is MLOps? Before we dive into our MLOps portal, let’s begin by defining MLOps (Machine Learning Operations). MLOps is about continuously running ML correctly by managing the full lifecycle (developing, improving, and maintaining) for AI models. A structured and methodical approach that starts at problem...

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    Open sourcing Feathr – LinkedIn’s feature store for productive machine learning

    April 12, 2022

    We are open sourcing Feathr – the feature store we built to simplify machine learning (ML) feature management and improve developer productivity. At LinkedIn, dozens of applications use Feathr to define features, compute them for training, deploy them in production, and share them across teams. With Feathr, users reported significantly reduced time required to...

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    Building in the cloud with remote development

    November 4, 2021

    Co-authors: Shivani Pai Kasturi and Swati Gambhir Imagine developing on your laptop, but with the computing power of the cloud! Here...

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    Model health assurance platform at LinkedIn

    July 13, 2021

    Co-authors: Rajeev Kumar, Dhritiman Das, Saatwik Nagpal, Shubham Gupta, and Vikram Singh At LinkedIn, we leverage AI to provide a...

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    Building a more intuitive and streamlined search experience

    April 22, 2021

    Co-authors: Rashmi Jain and Sonali Bhadra Search on LinkedIn is an essential part of our members’ experience, with more than 44% of...