Skip to content
View fransolerc's full-sized avatar

Block or report fransolerc

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
fransolerc/README.md

🌟 Quién soy

Desarrollador backend de Zaragoza con curiosidad real por cómo están hechas las cosas por dentro. Me gusta construir sistemas que tengan sentido, trabajar con autonomía y en equipos donde el código importa.

🚀 Con qué trabajo

  • APIs y servicios: Spring Boot, Spring WebFlux, REST, JWT
  • Event-driven: Apache Kafka — procesamiento de eventos en tiempo real
  • Arquitectura: Hexagonal — separación limpia de puertos y adaptadores
  • Infraestructura: Kubernetes, Docker, AWS (Lambda, S3), PostgreSQL, Liquibase
  • Testing: JUnit, Mockito, WireMock, Testcontainers

👨‍💻 Tech Stack

Pinned Loading

  1. videogame-library-backend videogame-library-backend Public

    Video game library backend built with Hexagonal Architecture, Spring Boot, JWT, MapStruct, and IGDB API integration.

    Java

  2. videogame-library-frontend videogame-library-frontend Public

    Modern web application developed with Angular to search, discover, and manage a personal video game library. Consumes a backend API for game data, user authentication (JWT), and personal collections.

    TypeScript

  3. videogame-library-backend-rust videogame-library-backend-rust Public

    🚀 High-performance backend for video game library management. Migrated from Spring Boot to Rust (Axum + SQLx + SQLite) using Hexagonal Architecture. Integrates with IGDB and JWT authentication.

    Rust

  4. videogame-library-analytics videogame-library-analytics Public

    Analytics microservice developed with Spring Boot and Hexagonal Architecture. Consumes Kafka events to generate real-time statistics on user video game preferences (genres, platforms, and years).

    Java