This section will showcase applied machine learning projects, infrastructure pipelines, and deployment experiments. Projects may focus on classification, forecasting, embedding techniques, or inference optimization using platforms like Databricks, Snowflake, and MLflow.
In time, this section will grow to include:
Though currently under development, this page will serve as a technical showcase for current and future collaborations.
ML pipeline with tracking, registry, and artifact storage using MLflow + Databricks.
Model serving and health-check routing with Pydantic schema enforcement.
Local prototype blending ARIMA + LSTM for short-horizon health metrics.