About Nimantha Hewage
Nimantha Hewage is a Data Scientist and Engineer at Get AI Ready, working across Australia, Singapore and Sri Lanka on lakehouse implementation, production ML pipelines and AI delivery for enterprise clients. Nimantha bridges data engineering and applied data science, designing the pipelines, feature stores and model serving infrastructure that move use cases from notebook prototype to operational production.
Areas of Focus
MLflow, Feature Store and Model Serving on Databricks, with monitoring, drift detection and retraining workflows that keep models honest after they hit production.
Delta Live Tables pipelines, lineage, fine-grained access control and multi-region governance for enterprises consolidating onto the lakehouse from legacy warehouses and lakes.
Ingestion, quality and SLA-grade pipelines tuned for AI consumption, including the data foundations that make RAG, agentic and predictive use cases reliable rather than experimental.