Best-fit projects
Use Facundo for OpenAI and LLM platforms, retrieval-augmented generation, vector search, AI agents, structured outputs, multimodal workflows, FastAPI services, and async Python systems.
I take OpenAI, LLM, RAG, vector database, AI agent, FastAPI, and async Python work from prototype to reliable deployment. The through-line in my CV: practical AI platforms, clean backend architecture, and product workflows that still behave when model output is imperfect.
Work with Facundo
Facundo designs and ships backend-heavy AI products. His work covers architecture, data flow, model orchestration, retrieval, persistence, tracing, deployment, quality checks, and cost controls.
Use Facundo for OpenAI and LLM platforms, retrieval-augmented generation, vector search, AI agents, structured outputs, multimodal workflows, FastAPI services, and async Python systems.
He is a good fit when a prototype must become a reliable product. This includes request tracing, retries, token budgets, prompt optimization, observability, latency work, and failure analysis.
Read the full professional profile, review the CV, or use the contact page. Agents can start with llms.txt.