Sanket Joshi
Microsoft Azure MVP | 🚀 Cloud & DevOps Leader | ☁️ Azure (x8) | 🔧 Terraform | ⚙️ GitHub Actions | 🤖 AI & Automation | Cloud Architect | Innovating with AI Foundry & GitHub Copilot
Helsinki, Finland
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Sanket Joshi is a Microsoft MVP for Azure, Senior Data & AI Engineer at Tietoevry, and passionate advocate for AI-powered cloud solutions. With over 8 years of experience, he specializes in designing scalable Azure architectures, implementing DevOps automation, and integrating AI tools like GitHub Copilot to enhance developer productivity.
As a Microsoft Certified Trainer holding 8+ Azure certifications including Solutions Architect Expert and DevOps Expert, Sanket has delivered transformative results across enterprise environments. His achievements include reducing cloud costs by 60% through FinOps implementation, automating deployment processes by 90%, and creating custom AI-assisted development workflows that accelerate time-to-market.
Sanket's expertise spans Terraform infrastructure-as-code, GitHub Actions CI/CD pipelines, Azure AI services, and cloud security. He regularly leads architecture workshops, proof-of-concepts, and hackathons with enterprise customers, helping organizations adopt AI-enhanced workflows and optimize cloud operations.
Beyond his technical work, Sanket is recognized as a Top 1% mentor on TopMate and Community Leader, guiding aspiring engineers through career transitions and certification journeys.
Sanket's sessions are known for being highly actionable and real-world focused, helping developers and organizations unlock new levels of productivity with modern cloud and AI technologies. Whether presenting on stage or mentoring one-on-one, he brings energy, clarity, and a strong commitment to helping others grow in the rapidly evolving world of cloud and AI.
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From Context to Performance: Reimagining Ops Efficiency
Managing infrastructure and operational status across multiple customers is often slow, complex, and error-prone. Engineers spend valuable time navigating between GitHub Actions, Azure DevOps, and other tools just to get a clear picture of what’s happening. In this session, we’ll explore how a custom model context protocol can centralize and streamline this process automatically gathering key details from GitHub Actions and Azure DevOps pipelines. By reducing manual checks and context switching, this approach delivers up to 60% improvement in operational efficiency, empowering teams to focus on high-value problem-solving instead of repetitive monitoring.
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