Exploring the intersection of machine learning and DevOps - from model versioning to automated deployments.
Featured Posts
📦 Artifact Design and Pipeline in MLOps Part I
Introduction to artifacts, MLproject manifests, and pipeline orchestration for reproducible ML workflows.
🤖 MLflow for Generative AI Systems
Learn how to use MLflow for tracing, evaluation, and versioning of LLM applications and Agentic AI systems.
🍓 Raspberry Pi 16GB, Servers, and MLOps
Using Raspberry Pi as a development server for MLOps testing and edge deployments.
🔧 MLops into Raspberry Pi 5
Complete setup guide for running MLflow, Docker, and Kubernetes on Raspberry Pi for MLOps development.
📚 The Decline of a Framework
Reflections on TensorFlow vs PyTorch in the modern AI landscape and implications for MLOps workflows.