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Antoni Davia YllAD

Antoni Davia Yll

E-Commerce AI Software Engineer

353 €/día
1 proyecto
Barcelona, ES
3-7 años

Tiempo medio de respuesta: 1h

Acerca de Antoni

  • Español

    Bilingüe o nativo

  • Catalán

    Bilingüe o nativo

  • Inglés

    Competencia profesional completa

Solo teletrabajo
Lleva a cabo sus proyectos principalmente en remoto

Experiencia

  • Mango
    E-Commerce Backend Developer
    MODA & COSMÉTICA
    enero de 2025 - Hoy (1 año y 7 meses)
    Barcelona, España
    • • Developing and maintaining APIs to optimize e-com website performance creating internal tools using Java Spring Boot.
    • • Integrated relational databases through optimized SQL queries both relational (Oracle) and non relational (MongoDB).
    • • Collaboration with frontend teams and business stakeholders to define and deliver features.
    • • Handled production incidents and contributed to internal process improvements.
    · · Usage of AI to improve development efficency -- MCP, skills creation...
    MCP Integración API externa Gestión CI/CD Java Spring Boot Gestión de bases de datos (por ejemplo, SQL, NoSQL)
  • Ben AI
    Data Analytics Engineer
    EDUCACIÓN & E-LEARNING
    junio de 2026 - julio de 2026 (1 mes)
    Madrid, España
    The Client has an online community that struggled with churn of its clients. They wanted to decrease that %. My role was:
    - Consulting: Churn reducion strategy
    - Building:
    • Infrastructure for data treatment
    • AI workflows for cronjobs & automations for data tratment
    • Dashboard creation with key points where to focus on
    Supabase n8n Communication strategy AI Automation Data analysis
  • Mango - By NTTData
    E-Commerce Analyst
    MODA & COSMÉTICA
    enero de 2023 - enero de 2025 (2 años)
    Barcelona, España
    • • Collaborated with cross-functional teams to align technical execution with business goals in e-commerce KPIs.
    • • Analysis on costumer behavior using e-com portal, including A/B testing.
    • • Analyzed incident patterns in production to propose data-driven long-term solutions, improving resolution time.
    • • Enhanced operational efficiency by identifying patterns in recurring incidents and proposing long-term solutions, reducing issue resolution time using either AI or requesting solutions to developers or other teams
    E-commerce SQL Team management Atlassian JIRA Communication

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Formación

  • Computer Engineering
    Universitat Oberta de Catalunya
    2026
    Computer Engineering
  • Web Applications Development
    Centre d'Estudis Monlau
    2023
    Web Applications Development

Conjunto de habilidades profesionales

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