v
vsterian

Vlad Sterian

@vsterian

Azure Cloud AI Solutions Architect DevOps Python

Roumanie
Anglais, Roumain, Espagnol
Certaines informations sont présentées en anglais.
À propos de moi
I help teams design, build, and deliver secure cloud and AI platforms. My work spans Azure architecture, infrastructure as code with Bicep and Terraform, CI/CD with GitHub Actions and OIDC, APIs and integrations, and full-stack Python and React applications. I turn technical ideas into practical delivery plans, reliable cloud infrastructure, and automated deployments. Expect clear communication, maintainable code, and security-conscious engineering. ... Plus d’infos

Compétences

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vsterian
Vlad Sterian
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

Consultation sur le cloud
I will design your azure cloud architecture and deployment plan
Intégrations IA
I will build ai agents llm integrations and python models

Portfolio

Expérience professionnelle

diconium

diconium

2 yrs 5 mos

Senior Specialist Cloud Engineer

Jul 2025 - Present1 yr 2 mos

Architect and deliver secure enterprise cloud and AI platforms on Azure. Lead LLM-as-a-Service and agent solutions with Microsoft Foundry, Azure Databricks, LangGraph, MLflow, MCP integrations, Python, Terraform, Bicep, and GitHub Actions. Designed cost-optimized data platform architecture that reduced annual cloud spend by more than EUR 250K, while standardizing multi-region deployment and operational automation.

Cloud Engineer

Mar 2024 - Jun 20251 yr 3 mos

Built cloud-based, data-driven application backends for the automotive sector using Python, Azure Databricks, Azure Functions, Docker, Spark, and Microsoft Fabric. Developed ETL pipelines, automated CI/CD with Azure DevOps and GitHub Actions, contributed to cloud architecture decisions, and created Grafana dashboards for system health and product-cost visibility.

Microsoft

Azure PaaS Developer and Support Engineer

Microsoft

Nov 2021 - Mar 20242 yrs 4 mos

Resolved complex Azure PaaS support and advisory cases across Service Fabric, Storage, ARM, Redis Cache, Service Bus, Event Hubs, Cloud Services, and Azure Batch. Diagnosed web application, networking, and DNS failures using structured data collection and packet-analysis tools, identified root causes, and guided customers toward reliable production solutions.