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Miqueas Molina DelgadoMM

Miqueas Molina Delgado

AI Agent Cloud Automation Engineer | n8n LLM RAG

290 €/día
8 proyectos
Madrid, ES
3-7 años

Tiempo medio de respuesta: 4h

Acerca de Miqueas

Client Feedbacks:

  • ⭐⭐⭐⭐⭐ "Miqueas delivered outstanding work on a complex AI, Automation & RPA project. He is highly resourceful, consistently finding creative solutions to technical challenges. Communicates clearly, meets deadlines, and goes above and beyond."
  • ⭐⭐⭐⭐⭐ "Miqueas went above and beyond. Extremely effective, highly organized and communicated clearly and consistently."
  • ⭐⭐⭐⭐⭐ "Outstanding technical expertise, professionalism, and attention to detail. Highly recommended, truly a 5-star experience."


About Me:


🔝 38+ successful projects | 100% Job Success on Upwork | Top Rated | EN/ES/FR
  • AI & Cloud Automation Engineer & Consultant. I design, build, and deploy AI agents, cloud infrastructure, and automated workflows; from strategy and consulting to hands-on development and delivery.
  • Currently AI Cloud & Automation Engineer at Ferrovial, while independently consulting and developing solutions for businesses across Europe and the US through Malt and Upwork.

What I Do:

  • 🤖 AI Agents & Automation: Multi-agent systems, n8n, Copilot Studio, Claude Code & Cowork. RAG-powered support bots, autonomous research agents, WhatsApp booking systems with Google Calendar sync.
  • ☁️ Cloud Engineering & Infrastructure for AI & Automation: Azure (Functions, Container Apps, OpenAI, Document Intelligence), GCP (Cloud Functions, Vertex AI), Oracle Cloud/OCI. Docker, PostgreSQL, Redis, Caddy, CI/CD, SSH hardening, automated backups.
  • ⚙️ Process Automation & Integration: Power Automate (Cloud + Desktop), UiPath, Python (Selenium, Playwright). AI Builder OCR for document extraction. End-to-end workflow automation including legacy ERP integration, PDF generation, and order processing.
  • 🎓 Technical Training: Also available for team upskilling on AI, cloud, and automation. Enterprise experience (Salesforce Veeva CRM, McDonald's).


Consultation → Planning → Implementation → Support & Documentation.


Ready to automate, scale, or build something smart? Let's talk! 🚀
  • Inglés

    Bilingüe o nativo

  • Francés

    Competencia profesional básica

  • Español

    Bilingüe o nativo

Solo teletrabajo
Lleva a cabo sus proyectos principalmente en remoto

Experiencia

  • Kidekom Consultora y Creación SL
    Logo de MaltEn Malt
    OCR & AI Automation Engineer: Pipeline for Scanned Paper Questionnaires (Multi-Model Vision Voting)
    EDUCATION AND E-LEARNING
    abril de 2026 - junio de 2026 (1 mes)
    Designed and built an end-to-end serverless pipeline on Google Cloud
    to extract structured data from large batches of scanned hand-written
    paper questionnaires.

    The pipeline ingests PDF batches uploaded to Drive, splits each batch
    into individual questionnaires, runs a multi-model vision orchestrator
    in parallel with fallback chains, applies a multi-layer validator
    (consensus, type, range, cross-field rules), runs a second-pass
    zoom validator on marginal fields, and produces a structured Excel
    output with one row per questionnaire.

    Highlights:
    - Auto-detection and correction of pages scanned upside-down using
    perceptual hashing.
    - Operational alerting layer with Pub/Sub dead-letter queues and a
    scheduled progress watchdog, sending WhatsApp and Telegram
    notifications on incidents.
    - Operator-facing button inside Google Sheets to trigger and monitor
    the whole pipeline without code interaction.
    - GDPR-aware design with anonymisation of personal data before any
    LLM call.

    Operating philosophy: prioritise reliability over coverage. Doubtful
    cells are colour-coded for manual review rather than asserted
    incorrectly.

    Stack: Python, Google Cloud Functions, Pub/Sub, Vertex AI, Drive
    and Sheets APIs, Secret Manager, Cloud Scheduler.
    Google Cloud Platform (GCP) Python LLM AI Automation OCR
  • Araucaria Solutions SL
    Logo de MaltEn Malt
    End-to-End RPA & AI Automation in Azure Ecosystem Engineer
    LOGISTICS AND SUPPLY CHAIN
    julio de 2025 - mayo de 2026 (10 meses)
    Development and deployment of a comprehensive automation architecture for supply chain and order management processes.

    Key Deliverables:
    • AI-Driven Document Processing: Implementation of AI Builder
    (OCR) models to extract and normalize data from multi-format supplier invoices (UPM, Lecta, Evepap) directly into SharePoint.
    • ERP Integration (RPA): Development of Power Automate Desktop
    (PAD) attended/unattended flows to automate order entry into Gestión 21 ERP running on Windows Server.
    • Industrial Labeling System: Creation of an on-demand "HTML-toPDF" generation workflow for coil control and tracking.
    • Infrastructure & Logic: Azure environment setup, advanced data normalization logic (unit conversion, physics-based calculations), and session management scripts (tscon) for server-side execution.
    Tech Stack: Microsoft Azure, Power Automate (Cloud & Desktop), AI Builder, SharePoint, Windows Server.
    AI Builder Microsoft Sharepoint Microsoft Power Automate OCR AI Automation
  • Apartahotel Casa de la Borrega, S.L.
    Logo de MaltEn Malt
    VPS Cloud Infrastructure Setup & Automation Engineer (n8n, Postgres, Redis, Oracle/Hetzner)
    TRAVEL AND TOURISM
    febrero de 2026 - febrero de 2026
    Design and deployment of cloud infrastructure on Oracle Cloud Infrastructure (OCI) for a hospitality business, building production and development environments from scratch.


    Key responsibilities and achievements:

    • Architecture and provisioning of two ARM servers (Ampere A1) on OCI, splitting resources across prod and dev environments.
    • Creation of VCN networking, public subnets, internet gateways, and security lists with a security-first approach.
    • Implementation of SSH key-based access and hardened permissions.
    • DNS coordination across multiple subdomains for automation, database management, and API endpoints.
    • Setup of Git-based deployment workflow: local development → GitHub → VM pull, including onboarding the client as a GitHub collaborator.
    • Budget alerts and cost control policies to guarantee cost control and maximise resource efficiency.
    Linux Server Oracle Cloud Infrastructure Docker Cloud computing Consulting

Reseñas

5,0

de 5 valoraciones

N

Nicolas

Director - Kidekom Consultora y Creación SL

Revisado el 16/6/2026

Muy satisfechos con la colaboración. Miqueas ha demostrado un gran nivel técnico, profesionalidad y una excelente capacidad para comprender nuestras necesidades y proponer soluciones eficaces. Destacamos especialmente su implicación, transparencia y comunicación durante todo el proyecto, así como su enfoque orientado a la fiabilidad y la mejora continua. Sin duda, volveríamos a trabajar con él.
N

Nicolas

Director - Kidekom Consultora y Creación SL

Revisado el 9/5/2026

Miqueas ha realizado un trabajo excelente durante todo el proyecto. Destacaría especialmente su profesionalidad, su buena disposición y su capacidad para explicar aspectos técnicos de forma clara y práctica. La comunicación ha sido siempre rápida y fluida, y ha resultado muy fácil trabajar con él en todas las fases del proyecto. Además, la herramienta desarrollada es intuitiva, bien estructurada y responde perfectamente a las necesidades que teníamos. Sin duda, una colaboración muy positiva.

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Formación

  • Bachelor of Science in Computer Science Engineering
    UOC
    Major in AI & Cloud Computing
  • Associate Degree in Computer Science
    ILERNA FP
    2025
    Associate's degree, Computer Science and Network Administration

Conjunto de habilidades profesionales

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