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AI Infrastructure

Self-hosted or managed inference, vector stores, retrieval pipelines, and observability for production AI.

The gap between a notebook demo and production AI is where most projects die. I set up the plumbing — inference, embeddings, retrieval, caching, evals, observability — so your team can ship features without rebuilding infrastructure every time.

AI Infrastructure

  • Self-hosted or managed LLM inference
  • Vector stores and retrieval pipelines
  • Prompt / output logging and evaluation
  • Cost and latency monitoring

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I Help Companies Move Faster