Sofian HamitiinBetter ProgrammingEnterprise ML Platforms Done Right5 pitfalls to avoid and solutions to build a powerful and scalable ML platform in your organization14 min read·Mar 3, 2023--1--1
Sofian HamitiinTowards Data ScienceBoost Your ML Team’s Productivity with Container-Based Development in the CloudA simple approach to run VS Code in a container, on SageMaker5 min read·Dec 16, 2022--1--1
Sofian HamitiinTowards Data Science5 Simple Steps to MLOps with GitHub Actions, MLflow, and SageMaker PipelinesA project template to kickstart your path to production11 min read·Sep 21, 2022--1--1
Sofian HamitiinGeek CultureLabeling data with Label Studio on SageMakerStep-by-step guide to deploying Label Studio on a Notebook Instance5 min read·May 19, 2022--1--1
Sofian HamitiinTowards Data ScienceHosting VS Code on SageMakerStep-by-step guide to set it up in your environment6 min read·May 2, 2022--4--4
Sofian HamitiinCodeXVS Code in SageMaker Studio LabCode-server in 5 mins in your Studio Lab environment3 min read·Mar 30, 2022--3--3
Sofian HamitiinTowards Data ScienceScaling MLOps with resilient pipelinesMaking SageMaker Pipelines more resilient with retry policies4 min read·Mar 27, 2022----
Sofian HamitiinTowards Data ScienceScaling Enterprise MLOps with Modern Cloud OperationsStep-by-step guide to scaling an enterprise ML platform on AWS.7 min read·Nov 18, 2021----
Sofian HamitiinTowards Data ScienceIndustrializing an ML platform with Amazon SageMaker StudioSteps and considerations when rolling out Studio in an enterprise9 min read·Oct 12, 2021--3--3
Sofian HamitiinTowards Data ScienceMLOps with MLFlow and Amazon SageMaker PipelinesStep-by-step guide to using MLflow with SageMaker projects6 min read·Jul 25, 2021--3--3