I'm an AI Architect and Azure Solutions Expert at EY, based in Bengaluru. I design and build intelligent cloud-native systems with a focus on Generative AI, RAG pipelines, and agentic AI on Azure. I work at the intersection of enterprise cloud architecture and applied AI engineering — turning production workloads into intelligent, autonomous systems.
- 🤖 Building agentic AI systems with LangGraph, Azure AI Foundry, and MCP
- ☁️ Deep expertise in Azure OpenAI, Azure AI Search, Cosmos DB, and Azure infrastructure automation
- 🌐 Actively learning GCP and Google Cloud Enterprise Agent Platform (Agentspace) — building agentic AI solutions with Vertex AI, Gemini, and Agent Builder
- 🛡️ Passionate about building AI systems that are observable, reliable, and production-ready
Cloud & AI Platform
Agentic AI & Frameworks
Languages & Tools
| Credential | Issuer | Verify |
|---|---|---|
| Microsoft Certified: Azure AI Apps & Agents Developer Associate (AI-103) | Microsoft | Microsoft Learn |
| Google Cloud Skill Badges | Google Cloud | Credly |
| Project | Description | Stack |
|---|---|---|
| 🤖 AI Projects | Agentic AI workflows — LangGraph Azure infra deployment agents, MCP-powered universal Azure service automation, Azure AI Foundry integrations, and an AI SRE agent | Python · LangGraph · MCP |
| ☁️ Azure Cloud Deployment Agent | Hackathon project (AI Skill Fest) — agent that deploys Azure resources via natural language commands | Python · Azure |
| 🔍 RAG with Azure AI Search | End-to-end RAG pipeline using Azure OpenAI and Azure AI Search | Jupyter · Azure OpenAI |
| 🌌 RAG with Cosmos DB | RAG implementation using Azure OpenAI + Cosmos DB vector search | Jupyter · Cosmos DB |
| 🗄️ RAG with SQL | RAG pipeline with Azure OpenAI using SQL Database as the vector store | Python · Azure OpenAI |
| 🛡️ Azure SRE Auto-Healing Agent | Autonomous SRE agent that detects and remediates Azure infrastructure issues | Python · Azure |
- 🌐 GCP & Google Enterprise AI — learning Vertex AI, Gemini APIs, Agent Builder, and Google Cloud Agentspace to build enterprise-grade agentic solutions
- 🤖 Multi-agent orchestration — designing complex agent topologies across Azure AI Foundry and GCP platforms
- 📊 Evals-driven development — building systematic evaluation frameworks for LLM and agentic applications
- 🔭 AI observability & monitoring — tracing, token analytics, and latency profiling for production AI agents