Hugo Juárez
CEO Building AI Agents For The Enterprise at Iterapic
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolHugo Juárez is a product and technology leader with 15+ years building digital products and 11 years of hands-on experience across cloud, mobile, and enterprise AI. He currently runs Elevaite Studio, helping companies turn cutting-edge AI into production-ready agents and automations, and also founded Iterapic to apply AI to instant studio-quality product imagery. Previously he trained over 2,000 tech leaders worldwide and authored courses on Generative AI, hybrid/multi-cloud, Kubernetes, and DevOps while consulting for Google Cloud on GenAI and hybrid strategies. His background spans engineering to executive roles—growing teams, shipping IoT platforms at relayr, and leading product at AWS—combining deep technical proficiency with go-to-market and scaling experience. An active cloud practitioner, he has contributed DevOps and Anthos/GKE improvements to GoogleCloudPlatform training repos, reflecting practical expertise in cloud-native deployments and service mesh management. Based in Berlin, Hugo blends entrepreneurial grit with a rare mix of training, product strategy, and infrastructure know-how to drive measurable business outcomes.
11 years of coding experience
11 years of employment as a software developer
Universitat Politècnica de València
Spanish, English, German, Catalan
Github Skills (14)
deployer10
kubernetes10
g10
azure-deployment10
deploying10
devops10
kubernetes-pods10
gcp10
bash9
terraformer8
terraform8
dockers7
docker7
cicd6
Programming languages (5)
Github contributions (5)
GoogleCloudPlatform/training-data-analyst
Aug 2020 - Jan 2023
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Role in this project:
DevOps Engineer & Cloud Engineer
DevOps Engineer & Cloud EngineerContributions:46 commits, 28 PRs, 8 comments in 2 years 5 months
Contributions summary:Hugo primarily focused on updating and configuring infrastructure and deployment processes within the Google Cloud Platform. The contributions included upgrading Debian versions, configuring GKE clusters (including release channel updates), and modifying deployment scripts. Further efforts involved upgrading and configuring Anthos Service Mesh (ASM) and related tools like `asmcli`, indicating a strong focus on service mesh management and cloud-native application deployment. They also managed environment variables and dependencies, indicating proficiency in setting up and maintaining cloud environments.
gcpgoogle-cloud-platformgoogle-cloudtraining
hudomju/training-data-analyst
Jul 2020 - May 2023
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Contributions:9 PRs, 84 pushes, 23 branches in 2 years 10 months
gcpgoogle-cloud-platformgoogle-cloudtraining
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