Venkat Ravipati
Application Architect @Los Angeles County Office of Education
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WORK HISTORY
Application Architect @Los Angeles County Office of Education
Los Angeles, CA, US
AI & Intelligent Systems LeadershipDesigned and implemented AI-augmented application architecture using Azure OpenAI services.Built Generative AI-powered assistants to streamline internal support workflows and automate documentation.Integrated LLM-based knowledge retrieval systems (RAG architecture) to improve data access and reduce manual search efforts.Leveraged GitHub Copilot to accelerate development cycles and improve code quality standards across teams.Implemented AI-assisted code reviews and prompt-driven development patterns.🧠 Agentic AI & Workflow AutomationDesigned Agentic AI orchestration models to automate multi-step business processes such as:Contribution submissionsData validation workflowsApproval routing systemsIntegrated AI decision agents with Azure Storage Queues and WebJobs for asynchronous processing.Implemented intelligent exception handling and self-healing workflow patterns. Cloud & Enterprise ArchitectureArchitected scalable solutions using:Azure App ServicesAzure SQL with Managed IdentityAzure Storage QueuesSecure REST APIsImplemented Single Sign-On (SSO) integrations.Modernized legacy systems into Blazor Server applications.Designed secure, multi-tenant architecture models.
EDUCATION
Andhra University
Bachelor's Degree
Madurai Kamaraj University
Master of Computer Applications (MCA), Computer Science
SKILLS
ABOUT VENKAT RAVIPATI
Application Architect with 20+ years of experience delivering scalable, secure, and enterprise-grade solutions across education, financial services, agriculture, and food supply sectors.Currently leading AI-driven modernization initiatives by integrating Generative AI, Large Language Models (LLMs), GitHub Copilot, and Agentic AI frameworks into enterprise architecture to enhance operational efficiency, developer productivity, and intelligent workflow automation. Core strengths include: • AI-powered enterprise architecture (Azure OpenAI, RAG frameworks) • Agentic AI workflow orchestration and decision automation • AI-augmented software development using GitHub Copilot • Cloud-native design on Microsoft Azure • Secure REST API ecosystems and SSO integration • Legacy modernization using Blazor and modern.NET Focused on bridging traditional enterprise systems with intelligent AI-driven capabilities to build adaptive, scalable, and future-ready platforms.
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