I help teams design, build, and ship production AI systems — from LLM proofs-of-concept to scaled, observable deployments.
Production-grade retrieval pipelines, evals, and observability for LLM applications.
Tool-using agents and workflow automation that integrate with your existing stack.
Feasibility studies, model selection, and safety reviews for AI initiatives.
React, Next.js, and Node.js — the substrate that production AI products run on.
1 week — align on goals, constraints, success criteria, and what good looks like.
2–6 weeks — eval-driven implementation with weekly checkpoints. You see progress every week.
Ongoing — observability, post-launch tuning, runbooks, and a retrospective.