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Updated April 30, 2026

Current focus, writing pipeline, and availability.

Updated periodically. If you're reading this six months from now, assume it's stale and email me to confirm.

Current focus

  • Evaluation harnesses for agentic pipelines — calibrating LLM-as-judge against human labels.
  • Hybrid retrieval + reranker setups for production RAG systems.
  • Model routing via LiteLLM for cost-per-successful-completion tracking.

Writing pipeline

  • A minimum viable LLM evaluation harness — the version you can build in an afternoon.
  • Hybrid search + rerankers — the techniques that move RAG quality numbers.
  • Production reliability for LLM apps — a working checklist.

Availability

  • Open to selective engagements with founders and engineering teams.
  • Best fit: 4–12 week scoped projects with clear eval-backed outcomes.
  • Reach out via email — replies within 48 hours.

Not doing

  • Generic AI consulting or strategy decks.
  • Inference-internals work (vLLM, CUDA, kernel-level optimisation).
  • Long open-ended retainers without scoped deliverables.