🌐 Web CV · 📄 English PDF · 📄 Spanish PDF · in LinkedIn · 📫 Email · GitHub
I build backend systems with Node.js, TypeScript, Go, and AWS, focusing on event-driven and serverless architecture, search, observability, and developer enablement. My applied AI work includes integrating hybrid search with Amazon SageMaker and OpenSearch, plus AI-assisted engineering workflows with the Gentle AI ecosystem (Engram, Spec-Driven Development, Orca). I work on the surrounding systems and workflows, not model training.
- Steplix: Backend components for a telecom client's serverless eSIM activation solution with Go, AWS Lambda, Step Functions, and DynamoDB. Contributed to state machine design, workflow integration, and developer enablement; found and fixed a Sentry-flagged bug in the provisioning service's Go migration library.
- Cencosud: Helped build a NestJS backend with hexagonal architecture and CQRS, MySQL writes, OpenSearch reads, Kubernetes deployments, and GitHub Actions workflows.
- Tiendamia: Migrated critical APIs to Node.js and integrated hybrid search with Amazon SageMaker and OpenSearch. Worked with CQRS, DocumentDB, RabbitMQ, Redis, and published reusable Node.js packages to npm.
- Chiper: B2B commerce APIs and microservices with Node.js, TypeScript, NestJS, and React, supporting GCP and Jenkins delivery.
Backend engineering, AWS serverless systems, event-driven architecture, state machines, OpenSearch, data platforms, observability, quality tooling, and practical AI integrations.
An open-source alert correlation agent and compact reference for event-driven backend design and observability.
For a concise overview of my experience, start with the web CV. I am based in Entre Ríos, Argentina, and prefer remote work with selective hybrid opportunities.



