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  • Universidad Carlos III de Madrid
  • Perales de Tajuña, Madrid, Spain
  • 01:18 (UTC +02:00)

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albersg/README.md

Alberto Sanchez

ML/AI Engineer, Solutions Architect, and DevSecOps-minded builder focused on production-grade intelligent systems.

I currently work as a Solutions Architect at Telefonica Espana Soluciones, where I design and deliver low-latency AI products, deployment automation, and cloud-native platforms with a strong emphasis on reliability, scalability, and operational excellence.

About

  • Building real-time AI systems for voice and telephony use cases, including APIs, voice bots, and RAG-based workflows.
  • Designing deployment and release automation across Azure environments, with CI/CD pipelines, database migrations, and operational tooling.
  • Driving platform architecture decisions across performance, scalability, security, and maintainability for production workloads.

Current Focus

  • Real-time AI for customer-facing applications with strict latency requirements.
  • Scalable backend architecture for multi-client environments with low p99 targets.
  • Automation-first delivery, from infrastructure and database lifecycle management to continuous deployment.

Selected Impact

  • Delivered AI solutions into production for real client environments, with a strong focus on reliability and time-to-value.
  • Improved cost efficiency through automation, code optimization, and streamlined deployment workflows.
  • Enhanced scalability and platform readiness to support more customers without compromising latency-sensitive performance.

Background

  • B.Sc. in Computer Science, Universidad Complutense de Madrid.
  • Master's in Applied Artificial Intelligence, Universidad Carlos III de Madrid.

Core Stack

Python FastAPI Azure Docker Kubernetes Terraform GitHub Actions Jenkins Argo CD Alembic

Connect

LinkedIn · Email

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