Sandip Dalvi
Solutions Architect at Medline
Based in Carol Stream, United States
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Seniority
Staff
Department
Information Technology
Location
Carol Stream
Industry
Medical Equipment Manufacturing
Company size
19K
Contact information
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Background
About Sandip Dalvi
AI, Data & Cloud Solution Architect with 20+ years of enterprise technology experience, including 8+ years in solution architecture, focused on AI/ML platforms, generative AI, and Microsoft cloud. I help enterprises design and deliver secure, scalable AI and analytics platforms on Azure, Microsoft Fabric, Power Platform, and M365 Copilot.I specialize in building end-to-end AI solutions using Azure OpenAI, Azure AI Studio/Foundry, Azure AI Search, Azure AI Services, and Azure Machine Learning. My work spans RAG architectures, conversational and agentic AI, copilots, and large-scale analytics platforms that turn complex data into governed, actionable insights for business stakeholders.Over the past several years, I’ve led architecture for Microsoft Fabric- and Azure-based AI/analytics platforms, designed AI-ready data foundations using lakehouse and medallion patterns, and implemented MLOps, observability, and Responsible AI practices in regulated environments (SOX, ITGC, HIPAA, PHI/PII). I operate at the intersection of strategy and delivery: partnering with executives and product owners to identify high-value AI use cases, define KPIs and value cases, and translate them into robust reference architectures and “golden paths” for engineering teams.Core strengths include:AI & ML on Microsoft: Azure OpenAI, Azure AI Search (vector & semantic), Azure AI Studio/Foundry, Azure AI Services, Azure Machine Learning, RAG, prompt engineering, agentic/multi-agent patternsData & Analytics: Microsoft Fabric (OneLake, Lakehouses, pipelines, notebooks), Synapse, Power BI, real-time and batch analyticsCloud & Integration: Azure IaaS/PaaS, AKS, Container Apps, Functions, Logic Apps, API Management, event-driven and microservices architecturesSecurity & Governance: Entra ID, OAuth/OIDC, RBAC, data security, AI governance, Responsible AII enjoy simplifying complex AI and cloud architectures, mentoring teams, and helping organizations move from experimentation to production-grade AI that delivers measurable business outcomes.
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