Feature Pipeline Reliability Toolkit
A sample toolkit for validating ML feature pipelines with schema checks, freshness alerts, and lineage-friendly run metadata.
Projects
These sample projects show the kind of engineering problems I like to work on: dependable data foundations for machine learning, analytics, and AI product teams.
A sample toolkit for validating ML feature pipelines with schema checks, freshness alerts, and lineage-friendly run metadata.
A reference architecture for analytics workflows that enforce data minimization, access controls, and auditable transformations.
A lightweight warehouse model for tracking prompts, retrieval context, user feedback, and evaluation signals for LLM products.