Freelancer profile translated to English.

Description

Senior software engineer (17 years) specializing in bringing AI systems to production, not just demos. I design and operate LLM applications and their data pipelines in Python/FastAPI on AWS/GCP: RAG, agent orchestration with MCP, streaming, and call analytics, with full observability (cost, latency, traceability), Docker/Kubernetes, and CI/CD.

I currently have 11 LLM agents in production. Some results: voice-LLM cost at $0.04/min by routing to open-source models, -35% latency and -30% compute in critical flows, and Meta Ads ROAS from 4% to 9% with an MCP agent.

I enjoy getting my hands dirty with code. I work AI-first and spec-driven (TDD, contract testing, one documented decision per change) and ensure software is testable, scalable, and inexpensive to operate. Strong in APIs: versioned contracts, OpenAPI, webhooks, microservices. Full-stack and data engineering profile (Python, FastAPI, TypeScript, Next.js, ETL/ELT, Spark, Flink, BigQuery) on cloud (AWS, GCP).

Seeking a senior role as an individual contributor, for contract or long-term, 100% remote (any timezone) or on-site in Madrid.

Even shorter version in case the field is brief:

Senior engineer (17 years) bringing AI to real production: LLM apps and data pipelines in Python/FastAPI on AWS/GCP (RAG, agents with MCP, streaming) with observability, Docker/Kubernetes, and CI/CD. 11 LLM agents in production; voice-LLM at $0.04/min, -35% latency, -30% compute, ROAS 4%->9%. Hands-on, AI-first, and spec-driven (TDD, contract testing), strong in APIs and microservices. Seeking senior IC role, contract or long-term, remote or on-site in Madrid.

Does this work, or do you want it with a specific character limit?

Industry field of expertise

Languages

Spanish
Native or bilingual
English
Native or bilingual
Portuguese
Fluent

Workplace preferences

Can work on-site

Madrid (up to 50km)

Independent (B2B via own company)
Senior AI / Backend Engineer
January 2023 - Today (3 years and 6 months)
— Build and operate Python / FastAPI microservices and JS / TS clients on versioned API contracts; LLM agents and data pipelines in production (OpenAI • · Anthropic ◦ · MCP ◦ · AWS / GCP).
— Built pilis.app: production LLM agent API (OpenAPI/Swagger) plus a data & analytics layer — post-call analysis pipelines, model management and internal/external dashboards (incl. Meta Ads) — consumed by a Next.js web and a React Native app on the same contracts; CI-gated TDD on every critical flow.
— Technical leadership: migrations, safe refactors under coverage, observability, and ramp-up of junior teams.
LangGraph FastAPI MCP
Migro
Founder & Full-Stack Engineer
January 2022 - January 2025 (3 years)
Legal-tech platform for immigration processes in Spain • · Remote ◦ · owned product & architecture end-to-end
— Designed and ran 11 LLM agents in production (MCP + LangChain): legal research, case management, paid acquisition, voice analysis, compliance, document processing and governance.
— Built a voice-LLM call-center (ElevenLabs → Telnyx) writing structured CRM records; cut cost to $0.04 / min by routing to open-source LLMs.
— Meta Ads MCP agent operating paid acquisition: ROAS 4% → 9%, CPL -24%; clean API layering delivering -35% latency and -30% compute spend.
MCP Backend Development FastAPI Docker
Uber
Expansion & Driver-Acquisition Manager
January 2015 - January 2018 (3 years)
Lima, Peru
(Peru, Colombia, Ecuador)
— Owned driver-acquisition strategy, onboarding flows and data-led growth for multiple city launches; cross-functional work across ops, marketing and expansion.
— First hands-on with data engineering here — Spark and Flink for ETL/ELT and BigQuery pipelines on acquisition data — which sparked the pivot toward building data systems.
— Negotiated a lead-acquisition sharing agreement with a top advertising agency (2016) — ~$2M saved in acquisition spend.