Guillermo Ruiz — Co-Founder
Cloud costs keep rising. Performance bottlenecks slow teams down, and engineering leaders are asked to “do more with less” every quarter. I know that world firsthand. After co-founding a startup and working as an infrastructure engineer, I became obsessed with solving the tension between innovation and efficiency. Along the way, I’ve built real-time AIOps platforms, designed sentiment analysis systems for the gaming industry (PlayStation), and explored augmented reality for data center operations. Today, as a Sr. Specialist Solutions Architect in the Efficient Compute team at AWS, I help organizations modernize their compute strategy by optimizing CPU architectures, advancing inference engineering, and embedding confidential computing into production systems. My focus is on making AI scalable and cost-efficient without defaulting to accelerators, and on protecting sensitive workloads through strong isolation, attestation, and hardware-rooted trust. Core focus areas: - Inference Engineering on CPUs: efficient model serving, RAG pipelines, workload optimization, and price-performance driven AI architectures - Confidential Computing: secure execution and cryptographic isolation with Nitro Enclaves and TPM, protecting sensitive data paths, keys, and regulated AI workloads through hardware-rooted trust and attestation. - Efficient Compute Strategy: Graviton, Spot, Karpenter, and architecture decisions that improve performance per watt - Performance Engineering and Observability: benchmarking, bottleneck analysis, and telemetry-driven optimization I also share these practices as an international speaker, technical writer, and co-host of the “Charlas Técnicas de AWS” podcast, ranked in the Top 10%, with recognitions including Grafana Champion and Arm Developer Ambassador, and previously VMware vExpert, Cisco Champion, and HashiCorp Ambassador. And my secret passion? Space. I build side projects to observe satellites, measure starlight, and experiment with efficient compute and AI at the edge. My mission is to make inference engineering, performance-driven compute, and confidential computing the default, not the exception. 👉🏻 If you are a CTO, architect, or engineering leader looking to reduce cost, increase performance, or rethink how AI runs in production, let’s connect.
Stackforce AI infers this person is a Cloud Computing Architect with a focus on AI and performance optimization.
Location: Madrid, Community of Madrid, Spain
Experience: 22 yrs 1 mo
Skills
- Efficient Compute Strategy
- Confidential Computing
- Developer Advocacy
- Cybersecurity
- Startup Ecosystem Development
- Artificial Intelligence
- Developer Relations
- Cloud Infrastructure
- Cloud Consulting
- Observability Solutions
- Data Analytics
- Cloud Architecture
- Network Engineering
- Network Operations
Career Highlights
- Expert in optimizing AI and compute architectures.
- Proven track record in cloud migration and performance engineering.
- Recognized speaker and technical writer in the cloud community.
Work Experience
Amazon Web Services (AWS)
Sr. Specialist Solutions Architect Efficient Compute (1 yr 2 mos)
Senior Developer Advocate (1 yr 11 mos)
Universidad Rey Juan Carlos
Guest Lecturer Research Centre for Intelligence Services and Democratic Systems (7 mos)
Oracle
Director DevEx, Oracle for Startups (1 yr 2 mos)
Head of Developer Relations (DevRel) (1 yr 2 mos)
Principal Product Manager - Oracle Cloud Infrastructure (8 mos)
EMEA Principal Sales Consultant (IaaS) (3 yrs)
datadope
Co-Founder (1 yr 7 mos)
Huawei Technologies
WEU Cloud & Datacenter Architect Lead (2 yrs 4 mos)
Computer Sciences Corporation (CSC)
EMEA Cloud Architect Lead (4 yrs 9 mos)
EMEA Principal Network Engineer (4 yrs)
Telefónica
Network Engineer (1 yr 1 mo)
Ingenia
Network Engineer (9 mos)
Education
MS in Telecom Management at Universidad Politécnica de Madrid
Ingeniero Técnico en Telecomunicaciones at Universidad de Jaén
at Official Language School
