ML Pipeline Orchestrator
An end-to-end machine learning pipeline framework built on Kubernetes, automating model training, evaluation, and deployment with built-in experiment tracking.
Read more →A collection of things I've built and contributed to.
An end-to-end machine learning pipeline framework built on Kubernetes, automating model training, evaluation, and deployment with built-in experiment tracking.
Read more →A low-latency feature store for serving ML features in real-time, supporting both batch and streaming feature computation.
Read more →A comprehensive monitoring solution for production ML models, detecting data drift, concept drift, and performance degradation in real-time.
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