About

Industrial engineering discipline applied to Web3 software.

Alejandro combines an industrial engineering background with hands-on software engineering experience across backend systems, full-stack applications, and blockchain infrastructure.

Engineering story

Alejandro brings an industrial engineering background into software work across backend systems, full-stack applications, smart contracts, and blockchain infrastructure.

The strongest through-line is practical systems thinking: understanding actors, constraints, reliability, data flow, and ownership before choosing an implementation shape.

15+ yearsengineering experience

4+ yearsfull-stack and blockchain/Web3 focus

ValenciaSpain, remote international orientation

Preferred environments

Blockchain Engineer
Smart Contract Engineer
Backend Engineer, especially DeFi / Web3
Protocol Engineer
Web3 Full-Stack Engineer

Review projects Contact

Experience

Engineering path from automation to Web3 systems.

A compact timeline from the CV, focused on the roles and responsibilities most relevant to blockchain, backend, and full-stack opportunities.

2023 - Present

A3M Global Monitoring

Java Backend / Blockchain Developer

Developed scalable backend services with Java and Spring Boot, delivering secure REST APIs.
Implemented authentication and access-control patterns using Keycloak and documented APIs with OpenAPI/Swagger.
Built internal backend functionality including a translation API with provider integrations, caching, PostgreSQL statistics, and CI/CD workflows.

Recent project

AtlasOra

Full-Stack Developer

Contributed to a live vacation-rental marketplace focused on trusted listings, user verification, search experience, and guest/host interactions.
Implemented and improved KYC/user verification flows, marketplace search behavior, and Web2/Web3 integration points.

2022 - 2024

Defdone

Full-Stack & Web3 Developer

Built full-stack applications with React, Node.js, and TypeScript.
Implemented Web3 integrations, wallet flows, contract interactions, API layers, and Casper ecosystem tooling including Fondant.

2014 - 2023

Industrial automation: Ford, Gestamp, SEAT and others

Automation Engineer

Programmed and commissioned automated production systems across Europe under tight uptime and safety constraints.
Applied process modeling and root-cause analysis, transferable to designing robust on-chain and backend workflows.

Education

Industrial Engineering

Automation & Industrial Electronics

Universidad Politecnica de Valencia

Languages

Values

How Alejandro works.

The portfolio avoids inflated claims and focuses on the engineering habits that show up across the work.

Model the real workflow first

Start from actors, constraints, state transitions, and operational risk before choosing the technical shape.

Keep core logic explicit

Make contracts, APIs, and integration boundaries readable enough to review, test, and maintain.

Design for failure at the edges

Treat providers, wallets, networks, identity checks, and external data sources as reliability boundaries.

Use product context to reduce complexity

Build Web3 functionality where it creates traceability, trust, or automation value, not as decoration.

Focus areas

Backend, full-stack, and blockchain execution.

Smart contracts & blockchain systems

Secure, tested smart contract logic with attention to edge cases, access control, incentives, state transitions, and maintainability.

Backend engineering

APIs, authentication, database-backed services, integrations, third-party providers, and production-oriented backend architecture.

Full-stack product development

User-facing applications that connect frontend interfaces with backend services and blockchain systems.

Developer tooling and infrastructure

Local environments, blockchain testing workflows, API documentation, CI/CD, and development experience improvements.

Real-world systems thinking

Engineering judgment shaped by industrial operations, reliability, constraints, and practical delivery.

Systems background

Industrial automation as a useful differentiator.

The automation and controls background is most relevant where software needs to model real operations, ownership, timing, and reliability.

Backend systems & APIs

REST APIs, service boundaries, authentication, external integrations, and operational backend design.

Industrial systems background

Operational engineering context from automation and controls, useful when modeling real-world workflows in software.