Cloud & Architecture
Microsoft AzureAzure Well-Architected FrameworkCloud Adoption FrameworkCloud-Native & ServerlessHigh Availability & DRHybrid & Multi-Cloud
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Open to speaking & collaborations
Helping Startups and Unicorns
Harness the Power of Cloud & AI
Saurav Raghuvanshi · Digital Cloud Solution Architect @ Microsoft
I help high-growth startups and unicorns design secure, scalable, AI-powered platforms on Azure — from cloud-native architecture and Generative AI to DevOps and cost optimization.
80+
Startups & Unicorns Empowered
30K+
Engineers & Customers Trained
70+
Azure & AI Sessions Delivered
700+
Production Issues Resolved
Azure ArchitectureAI WorkloadsApp ModernizationLanding ZonesPlatform Engineering
About
Cloud Architect & AI Enabler at Microsoft
I'm a Digital Cloud Solution Architect at Microsoft, helping high-growth startups and unicorns harness the power of cloud and AI to build scalable, secure, and innovative solutions. My mission is to simplify complexity, accelerate value, and enable customers to achieve their boldest ambitions through technology.
I specialize in designing cloud-native architectures and infusing AI into products to unlock new possibilities—from improving operational efficiency to creating intelligent, adaptive experiences. By combining technical depth with a growth mindset, I partner with founders and engineering leaders to modernize platforms, optimize investments, and drive long-term success.
Beyond customer engagements, I'm passionate about thought leadership and community building. I've led initiatives like Code Without Barriers and Azure Developer Community India, mentored developers, and delivered sessions on AI and cloud transformation. I believe diversity and inclusion fuel innovation—and I strive to create impact that goes beyond technology.
Let's connect if you're building for scale and want to explore how Cloud and AI can transform your business.
What I'm known for
- Architecting secure, scalable, cloud-native platforms on Microsoft Azure for startups and unicorns
- Designing AI-powered systems using Generative AI and Agentic AI — from prototype to production
- Modernizing legacy platforms into resilient, cloud-native architectures with zero downtime
- Optimizing cloud cost, security, reliability, and operational efficiency at scale
- Acting as a trusted technical partner for founders and engineering leaders navigating cloud adoption
- Delivering 70+ sessions on Azure and AI, training 30,000+ engineers and customers
Location
Bengaluru, India
Primary Cloud
Microsoft Azure
Experience
5+ Years
Certifications
12 (Udacity · Microsoft · Amazon Web Services)
Expertise
Technical Skills
Deep hands-on experience across the Azure ecosystem, from infrastructure and security to data platforms and AI.
AI & Data
Azure AI FoundryGenerative AIAgentic AIAI Workflow AutomationRAG ArchitecturesData-Driven Decision Systems
DevOps & Platform Engineering
TerraformARM TemplatesDockerKubernetesCI/CD AutomationPlatform Reliability & Observability
Programming & Tools
PythonShell ScriptingHTML / CSSCloud AutomationAzure CLIREST APIs
Deep Dives
Featured Case Studies
Real challenges, real architectures, measurable outcomes. These case studies show how I approach complex enterprise problems.
AI & AutomationGenerative AIAzure OpenAIAutomation
SupportIQ — Enhancing Support Engineer Efficiency with Generative AI
AI-Powered Case Prioritization, Automated Follow-ups, and Data-Driven Insights to Save Time, Reduce Costs, and Elevate Customer Satisfaction
August 2024 - June 2025Lead Cloud Solution Architect
Read Case Study11K+
Engineers using SupportIQ
1 hr
Time saved per engineer daily
14%
Efficiency improvement
$30
Cost saved per engineer daily
Cloud EducationAzureDeveloper EducationCloud Skilling
Cloud-Ready Academy — Azure Skilling at Scale
A transformative learning program equipping teams with essential Azure skills through hands-on labs and practical scenarios
April 2024 - April 2025Program Lead & Curriculum Architect
Read Case Study95%
Skills enhancement rate
5
Hands-on labs created
1
Capstone project
High
Learner engagement
Projects
Project Gallery
A selection of architectures, platforms, and solutions delivered across industries.
AIAzure
Marina Meals — Bilingual Voice Ordering on Azure Voice Live
An end-to-end voice ordering experience for a fictional Chennai restaurant, built on the Azure Voice Live API in Azure AI Foundry. Customers speak naturally in English or Tamil to browse the menu, check live prices, find a branch, and place a pickup order — no forms, no ordering flow to navigate. The design point is grounding: restaurant facts are never generated from model memory. Prices, availability, store hours and order totals all come from backend tools that re-read the current restaurant data on every call, and the server — not the model — calculates money.
Real-time bilingual conversation — PCM16 mono at 24 kHz with semantic voice activity detection and barge-in, English-first with Tamil replies reserved for complete Tamil utterances
Tool-grounded answers — menu, price, availability, branch and order facts resolve through backend functions that re-read live JSON on every call, so a price edit is reflected mid-session without a restart
Server-side order totals — the model never calculates money or invents confirmation numbers
+4 more
Azure Voice Live APIAzure AI FoundryMicrosoft Entra IDAzure App Service+11
AIAzure
Frontier Boardroom — A Multi-Model AI C-Suite
Five AI agents act as a virtual C-suite — CEO, CFO, CMO, CTO and Legal — each running on a different frontier model and debating a real business decision in a live Teams-style conversation. OpenAI, xAI, Meta and Mistral route through Microsoft Foundry; Anthropic through Azure Databricks Mosaic AI. Any seat can be reassigned or hot-swapped mid-session, and every persona answers from one shared Foundry IQ knowledge base with inspectable citations.
Five frontier models in one live debate — three seats on Microsoft Foundry, two on Azure Databricks Mosaic AI
Any seat reassigned or hot-swapped mid-session, with no change to persona or orchestration code
Grounded, not improvised — shared Foundry IQ retrieval with citations users can open and inspect
+5 more
Python 3.12FastAPIPydantic v2WebSockets+18
AzureAI
Portfolio Website — Azure Cloud Architecture
Designed and built a production-grade portfolio website on Azure, treating it as a reference architecture. Runs on Azure App Service (B1, Central India) with a RAG-powered AI chatbot via Azure AI Foundry, GitHub Actions CI/CD, passwordless Managed Identity auth, and Application Insights monitoring. Every infrastructure decision is documented at /architecture.
Full Azure cloud infrastructure — App Service, AI Foundry, Blob Storage, App Insights, Managed Identity
RAG chatbot grounded on portfolio content using gpt-4o + file_search vector store
Zero API keys in production — Managed Identity with Cognitive Services User + Azure AI Developer RBAC
+1 more
Next.js 16Azure App ServiceAzure AI FoundryAzure Blob Storage+4
Azure
Cloud-Ready Academy — Azure Skilling at Scale
Led end-to-end design of a structured Azure skilling initiative. Built hands-on labs, capstone projects, and learning modules to upskill diverse engineering audiences on cloud-native development and architecture.
Achieved 95% skills enhancement rate among participants
Scaled cloud learning to thousands of engineers
Built reusable lab content now used across multiple cohorts
Microsoft AzureAzure LabsGitHubHands-on Learning
AI
SupportIQ — Generative AI for Support Automation
Built a Generative AI solution on Azure to automate support workflows for engineering teams. Leveraged Azure OpenAI and AI Foundry to intelligently triage, route, and resolve common support issues without manual intervention.
Reduced manual effort by ~1 hour per engineer per day
Improved support engineer efficiency by 14%
Delivered measurable operational and customer experience improvements
Azure OpenAIAzure AI FoundryPythonAzure Functions+1
Azure
Azure Landing Zone for Startups
Designed a right-sized Azure Landing Zone for a high-growth startup — hub-spoke networking, Azure Policy governance, identity baseline, and a self-service developer platform. Balanced enterprise-grade security with startup velocity.
New environment provisioning: 2 weeks → 2 hours
Security baseline achieved from day one
Passed investor due diligence cloud security review
AzureTerraformAzure PolicyEntra ID+1
Watch & Learn
Featured Talks
Live sessions, bootcamps, and webinars on Azure, AI, and cloud-native engineering.
College, Corporate, Placement, Community
3Cs: College, Community & Corporate
In this podcast, I shared about my journey from Dehradun to working with top technology communities and helping students build successful careers in tech. This session was recorded during an interaction with students, where industry insights, career guidance, and practical learning came together to inspire the next generation of tech professionals. If you are a student, developer, or someone interested in Microsoft, AI, Cloud Computing, career growth, and technology communities, this podcast is for you.
Azure AI
Get Started with Azure AI Services
A guided tour of the Azure AI Services portfolio — Vision, Language, Speech, Document Intelligence and OpenAI — with live demos of how to call them from a real app and pick the right service per use case.
GitHub Copilot
Enhancing Cloud Engineering with GitHub Copilot
Practical session on weaving GitHub Copilot into a Cloud Engineer's daily workflow — real-world prompts for IaC, scripting and review, and how AI-assisted suggestions reduce errors and ship infrastructure changes faster.
Technical Blog
Latest from the Blog
Deep dives into cloud architecture, AI engineering, and lessons from the field.
SecurityAI & MLAzure
The OpenAI–Hugging Face Security Incident: When AI Agents Broke Out — and How to Make Sure Yours Don't
How a swarm of AI agents escaped OpenAI's sandboxes and breached Hugging Face in July 2026 — what happened, why, the six controls that would have stopped it, and how Microsoft's security and AI platform helps you build them in.
September 20, 202611 min read
Azure MonitorObservabilityApplication Insights
How to Build a Monitoring System for Azure Workloads
A practical, architecture-first guide to building a monitoring system for Azure workloads using Azure Monitor, Application Insights, Log Analytics, alerts, and Workbooks. Covers instrumentation, telemetry pipelines, correlation, cost control, failure modes, and when not to over-engineer observability.
April 27, 202616 min read
AzureVoice AgentsReal-time Communication
Leveraging Azure's Voice Live API for Real-Time Voice Agents
Explore the architecture and benefits of Azure's Voice Live API for enhancing real-time voice agent systems.
March 30, 20262 min read
Community
Speaking & Leadership
Sharing knowledge at conferences, workshops, and community events.
Credentials
Certifications
Twelve certifications across Microsoft, AWS, and Udacity — multi-cloud architecture, AI, and product. Click any badge to verify.
Microsoft (4)
- Azure AI Fundamentals (AI-900) — 2024
- DevOps Engineer Expert (AZ-400) — 2022
- Azure Administrator Associate (AZ-104) — 2021
- Azure Fundamentals (AZ-900) — 2020
AWS (2)
- AWS Certified Solutions Architect (SAA-C03) — 2022
- AWS Certified Cloud Practitioner (CLF-C02) — 2021
Udacity (6)
- Product Manager Nanodegree (NDPM) — 2025
- Azure Generative AI Nanodegree (ND0013) — 2025
- Azure Cloud Architect Nanodegree (ND081) — 2024
- Deep Learning Nanodegree (ND101) — 2020
- Programming for Data Science with Python Nanodegree (ND104) — 2020
- Computer Vision Nanodegree (ND898) — 2020
Contact
Let's Build Something Remarkable
Whether you have a cloud architecture challenge, want to discuss a specific project, or are exploring a full-time opportunity — I'd love to hear from you.
sauravraghuvanshi24@gmail.com
Book a Call
30-min intro call · Outlook
Connect professionally
Open to speaking engagements & collaborations · Responds within 24h (IST)