ML Platforms posts
Building a Marketing Mix Model Platform: Architecture and Lessons Learned
Exploring the architectural considerations for building an MMM platform—async GPU training, budget optimization, and translating Bayesian posteriors into actionable marketing recommendations.
Replacing Moderation APIs With In-House Text Classifiers: Silver Labels, Shadow Scoring and a Regression Gate
How I trained ModernBERT and XLM-R classifiers on silver labels from third-party APIs, ran them in shadow next to the incumbent, and built a baseline regression gate for the model registry.
Training YOLO26 on SageMaker: Long Runs That Left Nothing Behind
Notes from taking a YOLO26 image detector from EC2 scripts to a SageMaker training pipeline with a manual approval gate, and the failures that left long training runs with nothing to deploy.