Descripción

After 5+ years of architecting distributed systems in high-volume enterprise environments, I’ve seen that the hardest part isn't just "calling an API". It's engineering the robust ecosystem around it.

I am now partnering with companies to deliver end-to-end projects: from the initial AI concept to the final deployed infrastructure.

What I deliver:

🤖 Agentic Workflows (GenAI): I build autonomous AI agents that can reason, plan, and execute complex tasks without constant oversight.

☁️ Full-Stack Serverless AI: I architect complete, scalable application infrastructure using serverless AWS services to support multimodal models and core business logic.

📦 Turnkey Delivery: I handle the full lifecycle using DevOps best practices like IaC and CI/CD. I deliver a finished and stable system rather than just a repository of code.

If you need a senior engineer who can take a vague requirement and return a robust, scalable solution, let's talk.

Ámbito de especialización en el sector

Idiomas

Español
Bilingüe o nativo
Inglés
Competencia profesional completa

Preferencias de lugar de trabajo

Solo teletrabajo

Lleva a cabo sus proyectos principalmente en remoto

Freelancer
AI Solutions Architect
noviembre de 2025 - Hoy (7 meses)
▹ Developed an AI-powered distributed agentic system designed to help users prepare for job interviews (github.com/gontzalm/interview-prep).

▹ Developed an end-to-end RAG (Retrieval-Augmented Generation) application in AWS (github.com/gontzalm/rag-builder).
Langchain LanceDB Ragas AWS IaC
Expedia Group
Data Engineer
VIAJES & TURISMO
septiembre de 2025 - octubre de 2025 (1 mes)
▹ Analyzed and implemented the architectural transition of a core data pipeline from batch to NRT (Near Real-Time), enabling faster data availability for downstream travel analytics.
Python SQL
Tendam Retail
Data Engineer
MODA & COSMÉTICA
mayo de 2022 - agosto de 2025 (3 años y 3 meses)
▹ Designed a metadata-driven automation engine using AWS Step Functions and Lambda to ingest diverse file formats (CSV, XML), replacing manual pipeline configuration with TOML-based logic and reducing onboarding time for new data sources by 80%.

▹ Automated data lake maintenance and lifecycle management by migrating from Hive to Apache Iceberg, eliminating the operational overhead of AWS Glue crawlers.

▹ Replaced a 200k €/year AI vendor by architecting a custom in-house GenAI tagging solution, achieving a 90% reduction in operational costs through a serverless stack (FastAPI, AWS Lambda, and Bedrock).

▹ Deployed dbt Core to Amazon EKS in a self-managed fashion, and enforced model development and documentation best practices.

▹ Developed reusable Infrastructure as Code (AWS CDK) patterns to automate the provisioning of secure, cost-optimized cloud environments.
Python SQL AWS IaC FastAPI