PinnedPublished inArtificial Intelligence in Plain EnglishWhy SHAP Breaks in Production (and How MLflow Fixes It)A hands-on guide to packaging SHAP explainers with CatBoost + SageMaker MLflowOct 1A response icon1Oct 1A response icon1
PinnedStop Paying for AI Agents: How to Use LLMs for Free Inside VS CodeUnlock the Superpower of an AI Codebase Assistant with ClineApr 29A response icon1Apr 29A response icon1
PinnedPublished inArtificial Intelligence in Plain EnglishHidden Tricks in CatBoost You Should KnowAdvanced explainability, feature selection, and MLflow deployment on AWS SageMakerSep 1Sep 1
PinnedPublished inAWS in Plain EnglishHow I Prepared for the AWS Data Engineer Associate Exam (And What I’d Do Differently)Tips and lessons from my AWS Data Engineer Associate journeyAug 22A response icon1Aug 22A response icon1
Published inAWS in Plain EnglishBuild a Vector Database for AI on AWS in 30 MinutesPostgreSQL + pgvector + AWS: A practical end-to-end tutorialOct 28Oct 28
Published inArtificial Intelligence in Plain EnglishEnd-to-End CatBoost Model Lifecycle with SageMaker and MLflowTrain, tune, and scale CatBoost on SageMaker with MLflow 3.0Oct 22Oct 22
Published inPython in Plain EnglishPython Type Checking Made Easy with tyWhy ty is a game-changer for hassle-free type checksOct 16A response icon1Oct 16A response icon1
7 Best VS Code Themes for Data Scientists (2025 Edition)Hand-picked themes for data scientists who stare at code all dayOct 6Oct 6
Master Binomial Regression with Gradient-Boosted TreesLearn these tricks to train GBDT on binomial experimentsSep 22Sep 22
Published inPython in Plain EnglishPython Got 3× Faster for Machine Learning (And It Changes Everything)Free-threaded Python Finally Breaks the GIL BottleneckSep 18Sep 18
