Descripción

For 6 years I've been building systems where mistakes cost money: payment flows processing 6M+ transactions a month, payment processing used by most of Spain's financial institutions.

Now I apply that same discipline to AI.

Most "AI engineers" can build demos; few can take an LLM agent to production with observability, traceability and regulatory compliance.

That's my lane:

• Agent backends and LLM applications in production (TypeScript, Node.js, AWS)

• AI observability with OpenTelemetry — I'm building FleetWatch (fleetwatch.dev), a governance layer for AI under the EU AI Act and GDPR

• Integrating AI into existing products: Next.js fullstack, APIs, payments (Stripe/PSPs), data

What you can expect from me:

Code that reaches production, clear communication with no surprises, and the judgment to tell you when you DON'T need AI.

Idiomas

Catalán
Bilingüe o nativo
Español
Bilingüe o nativo
Inglés
Competencia profesional completa

Preferencias de lugar de trabajo

Solo teletrabajo

Lleva a cabo sus proyectos principalmente en remoto

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• Architected and built a new payments flow on event-driven microservices: 6M+ transactions/month.

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• Designed a new instalment-payments flow (.NET 8) that increased debt recovery rates.

• Monolith-to-event-driven migration on Azure.
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Master of Science in Computer Science
Heriot-Watt
Master's degree in computer science, with heavy focus on AI

Oriol Omar P.

AI Engineer: Agents LLM, Observability, Compliance

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