Acerca de Miqueas
- ⭐⭐⭐⭐⭐ "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."
- 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.
- 🤖 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).
Inglés
Bilingüe o nativo
Francés
Competencia profesional básica
Español
Bilingüe o nativo
Experiencia
- Kidekom Consultora y Creación SL
En Malt
OCR & AI Automation Engineer: Pipeline for Scanned Paper Questionnaires (Multi-Model Vision Voting)EDUCACIÓN & E-LEARNINGabril de 2026 - mayo de 2026Designed and built an end-to-end serverless pipeline on Google Cloudto extract structured data from large batches of scanned hand-writtenpaper questionnaires.The pipeline ingests PDF batches uploaded to Drive, splits each batchinto individual questionnaires, runs a multi-model vision orchestratorin parallel with fallback chains, applies a multi-layer validator(consensus, type, range, cross-field rules), runs a second-passzoom validator on marginal fields, and produces a structured Exceloutput with one row per questionnaire.Highlights:- Auto-detection and correction of pages scanned upside-down usingperceptual hashing.- Operational alerting layer with Pub/Sub dead-letter queues and ascheduled progress watchdog, sending WhatsApp and Telegramnotifications on incidents.- Operator-facing button inside Google Sheets to trigger and monitorthe whole pipeline without code interaction.- GDPR-aware design with anonymisation of personal data before anyLLM call.Operating philosophy: prioritise reliability over coverage. Doubtfulcells are colour-coded for manual review rather than assertedincorrectly.Stack: Python, Google Cloud Functions, Pub/Sub, Vertex AI, Driveand Sheets APIs, Secret Manager, Cloud Scheduler. - Araucaria Solutions SL
En Malt
End-to-End RPA & AI Automation in Azure Ecosystem EngineerLOGÍSTICA & SUPPLY CHAINmarzo de 2026 - mayo de 2026 (1 mes)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. - Apartahotel Casa de la Borrega, S.L.
En Malt
VPS Cloud Infrastructure Setup & Automation Engineer (n8n, Postgres, Redis, Oracle/Hetzner)VIAJES & TURISMOfebrero de 2026 - febrero de 2026Design 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.
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Formación
- Bachelor of Science in Computer Science EngineeringUOCMajor in AI & Cloud Computing
- Associate Degree in Computer ScienceILERNA FP2025Associate's degree, Computer Science and Network Administration