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Spain · open to remote roles across Europe

Hi, I'm Amando

Backend · Data & AI Engineer

I build

I build the unglamorous half of software: data pipelines, APIs and LLM systems that keep running on a Sunday night without anyone noticing.

years building backends
0+ years building backends
products live in production
0 products live in production
databases I argue with daily
0 databases I argue with daily
Python FastAPI PostgreSQL MongoDB Airflow LLM pipelines AI automation AWS Kubernetes Elasticsearch Vue 3 Astro

Selected work

Three projects, each with the same shape: a real problem, the decision that mattered, and what actually changed.

2025 — present

Turnos Parcelas

Billing and scheduling software running in production for a real business.

Outcome
Monthly invoicing went from a full afternoon of manual work to a few clicks. The system has been running unattended in production since 2026, including a multi-email client notification flow and a PDF invoice layout that survives the printer.

PythonPostgreSQLNeonRailwayVue

Read the case study

2024 — present

Fantasy Voley

A fantasy league for Spanish volleyball, with real users and a scraper that has to behave.

Outcome
A working league with real players in it, refreshed automatically through the season, and a data model that survived a federation site redesign without a rewrite.

PythonPostgreSQLNeonRailwayVue

Read the case study

2023 — present

Regulatory intelligence pipeline

LLM-backed classification and enrichment at document scale, in a production SaaS.

Outcome
Classification stages that used to take weeks of rule-writing now take a prompt change and an evaluation run. Batch report processing moved onto Airflow in the same period, turning an opaque multi-hour job into observable, individually retryable tasks.

PythonFastAPIAirflowPostgreSQLMongoDBLLMsAWS

Read the case study

Experience

Where I have been and what I moved while I was there.

  1. Aug 2022 — Present

    Senior Software Engineer — Backend, Data & AI

    Datamaran

    ESG and regulatory intelligence SaaS. I work across the data platform that turns raw regulatory and news sources into structured, searchable signal for enterprise customers.

    • Designed and shipped LLM-backed classification stages for the regulatory pipeline, replacing hand-maintained rules and holding quality while cutting per-document cost.
    • Moved a batch report-processing workload onto Airflow, turning an opaque long-running job into observable, retryable tasks.
    • Built FastAPI services over PostgreSQL and MongoDB following a strict repository → application → endpoint contract, so business rules live in one testable layer.
    • Automated recurring engineering and delivery workflows with LLM agents and custom tooling, and build most of my systems with AI in the loop — design, implementation and iteration.
    • Contributed to the Vue 3 front end (PrimeVue, Pinia) for the features I own end to end.
    Python FastAPI PostgreSQL MongoDB Airflow Elasticsearch AWS Vue 3
  2. Jan 2019 — Jul 2022

    Software Engineer

    Previous company

    Placeholder entry — replace with your real previous role.

    • Outcome one.
    • Outcome two.
    Python PostgreSQL

About

I'm a backend engineer who drifted into data and AI because that is where the interesting failure modes are. Most of my work is the part users never see: pipelines that ingest messy external sources, APIs that stay boring under load, and LLM stages that are measured rather than guessed at.

I build and automate systems with AI in the loop — not as a demo, but as the way the work gets done. That means LLM agents wired into real engineering workflows, custom tooling and MCP integrations around them, and evaluation harnesses so a model or prompt change is an experiment with a number attached instead of an argument.

What I care about in a codebase: clear layer boundaries, business rules that live in exactly one testable place, and failures that are loud and cheap rather than silent and expensive.

Let's talk

Looking for a backend, data or AI engineer? I read every message that is not a template.