I will build production llm apps with langgraph agents, rag pipelines and evaluations

LLM applications engineered for production: RAG pipelines and LangGraph agents with evaluations, guardrails and monitoring, for teams whose prototype works in a demo but not reliably with real users.

What this covers

• Review of your current LLM, RAG or agent system, with a written list of failure cases
• Evaluation datasets and automated tests for answer accuracy, retrieval quality and tool calls
• New build or rebuild with LangGraph, LangChain or LlamaIndex, structured outputs and fallbacks
• Guardrails, cost and latency tuning, caching and model routing
• Tracing and dashboards (LangSmith, Langfuse or OpenTelemetry)

How it works

1. Access to the code and a sample of real queries
2. Baseline measurement, then each change measured against it
3. Report, merged code and a handover call

Background

Machine-learning researcher focused on reliable AI (calibration and failure analysis). Top Rated seller and Fiverr Pro in AI and software development, with 100+ completed orders since 2022.

Please message me with a short description of your system and what is going wrong before ordering.