Laxmi Bhavani G

Designed and implemented enterprise Generative AI and RAG solutions using Azure OpenAI Service, Azure AI Foundry, LangChain, LangGraph, embeddings, and vector search for secure knowledge retrieval, document processing, and enterprise search. Built reusable AI utility services and REST APIs for prompt execution, retrieval workflows, response processing, and enterprise application integration with prompt templates, grounding, context management, structured outputs, token optimization, and validation. Integrated Azure AI services with Azure Functions, App Services, Azure SQL, Blob Storage, and enterprise APIs; deployed scalable containerized workloads on AKS. Owned and managed enterprise AI platforms (ChatGPT, Claude, Microsoft Copilot) with governance, access controls, and security, while supporting enterprise-wide adoption. Automated infrastructure and delivery using Terraform, ARM Templates, Bicep, Azure CLI, and CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions). Secured workloa

Designed, deployed, and supported scalable Microsoft Azure environments for healthcare applications, data platforms, analytics, and enterprise workloads. Built Azure Data Factory ETL pipelines ingesting and transforming healthcare data, reducing processing time by 40%. Implemented real-time processing with Azure Stream Analytics for live patient information, hospital resource utilization, emergency alerts, and public-health indicators. Migrated on-premises workloads to Azure Blob Storage with encryption and secure access controls (zero data loss). Deployed containerized workloads using Docker and AKS with autoscaling and fault-tolerant runtime configurations. Developed CI/CD pipelines using Azure DevOps, Terraform, and automated testing/deployment across environments. Configured Azure Databricks clusters, libraries, secret scopes, jobs, monitoring, and cost optimization. Operated and secured the platform using Azure Monitor, Log Analytics, Logic Apps, and RBAC; troubleshot production

Designed and deployed cloud-native enterprise applications on Microsoft Azure using App Services, Functions, and VMs to support scalable public-sector workloads. Architected microservices-based solutions using Docker and AKS, implementing load balancing, autoscaling, high availability, and resilient design. Built secure REST APIs and integrations using API Management and Logic Apps connecting internal systems, backend services, Azure SQL Database, Cosmos DB, and third-party platforms. Implemented CI/CD pipelines with Azure DevOps, Jenkins, and GitHub Actions for continuous integration, testing, and deployments across Development, Testing, and Production. Provisioned infrastructure with Terraform and ARM templates and secured environments using VNets, NSGs, RBAC, and Azure Key Vault. Monitored and supported applications using Azure Monitor, Application Insights, and Log Analytics; ensured secure and stable operations for citizen-facing systems.