Ramiro Cerdá
Full-Stack Engineer.
Performance, observability, and quality. AI agents in production — architecture, code, and deploy.
Available for projects Buenos Aires · UTC-3
About me
Full-stack engineer based in Buenos Aires. I build fast, observable web products and take AI agents from idea to production: architecture, code, and deploy.
About →Stack
- TypeScript
- React
- Astro
- Node.js
- Python
- FastAPI
- PostgreSQL
- Cloudflare
01 / WORK
- Botardo — RAG-powered AI assistant A RAG conversational agent embedded in the site: vector retrieval over Cloudflare Vectorize with bge-m3 embeddings, generation with DeepSeek V4 Flash via OpenCode Go, and deterministic language detection with a no-LLM fallback for out-of-context questions.
- Mundial 2026 — World Cup Companion Full-stack companion for World Cup 2026 end to end: groups, local-timezone fixtures, knockout bracket, venue map, and per-country TV guides. Historical matchup data crossed from StatsBomb and OpenFootball.
- Soccer Analytics Agent — Football analytics agent Chat agent over ~49k international matches (1872–today) built with a hand-written LLM tool loop, no agent framework. Gemini reasons and calls tools; Postgres + pgvector is the single layer for data, memory, and observability. A learning-first replication of Oracle's workshop on an open, GCP-deployable stack.
- AI Agents Hub — AI agent lab Learning and reference monorepo for Google ADK and LangGraph: from small agents (PlanReAct, output_schema, MCP, code executor) to full-stack apps in production. Includes Customer Support Chat and Career Coach (Vertex AI Agent Engine + Cloud Run).
- Gastify — Finance tracking with a Telegram bot A personal finance tracker with two entry points: a PWA dashboard and a Telegram bot that parses natural-language messages ('I spent 5k at the store on debit') into structured transactions using AI.