ai engineer

Santiago Lopez

AI engineer building agents, retrieval systems, and internal tools that move from prototype to production.

I build applied AI systems for real workflows: agents, retrieval, internal tools, and automation.

agents with tools, memory, and guardrails
retrieval and knowledge systems for real teams
product engineering with strong technical taste

available for high-leverage ai engineering work.

/portfolio

Selected work across applied AI, backend systems, and product delivery. The common thread is simple: useful software, shipped with constraints in mind.

Kore Agent/ 2026
AI-powered customer service platform for multi-tenant, multi-channel support across WhatsApp, Telegram, and web.

Python 3.11, FastAPI, SQLAlchemy, PostgreSQL, Redis, React, Vite, OpenRouter, Docker
Production Agent/ 2026
Automated WhatsApp booking assistant for real-time scheduling, rescheduling, and cancellations with production-safe conversation handling.

Python, FastAPI, Redis, Google Sheets API, Groq LLM API, asyncio, REST APIs, webhooks
RAG PetroQuery/ 2026
Industrial RAG system for technical question answering in Oil & Gas workflows with grounded answers and safety-oriented validation.

FastAPI, Next.js, PostgreSQL, pgvector, hybrid search, reranking, structured output, validation layers

/blog

Notes on AI systems, engineering judgment, product tradeoffs, and what breaks once real users show up.

Notes coming soon.

/contact

If you are building something ambitious in AI and need an engineer who can move between model behavior, systems design, and shipped product, reach out.