Database modernization for AI

I help teams get their databases ready to reliably support AI systems. Typical engagements include:

Performance & indexing audits — finding and fixing the queries, indexes, and schema decisions that are quietly throttling your application and any AI workloads built on top of it.

CI/CD for data platforms — bringing schema changes, migrations, and data pipeline deployments under the same discipline as application code, so changes are tested and reversible instead of risky.

Vector database & AI semantics readiness — evaluating and implementing vector search, embeddings storage, and retrieval patterns so your AI features are grounded in accurate, well-modeled data.

Data engineering — building reliable pipelines that get clean, well-structured data where it needs to be, on schedule.

Modernization roadmaps — for teams that know their database needs work but aren’t sure where to start, a prioritized plan for getting from where you are to AI-ready.

Let’s talk

If any of this sounds like your team, email me or connect on LinkedIn. I’ll ask a few questions about your setup and tell you honestly whether — and how — I can help.