Vivek Patel

Architected and deployed production-grade agentic AI systems using LangChain, LangGraph, and Azure OpenAI, including multi-agent orchestration with RAG (document ingestion, vector search, hybrid search, grounding) published to Microsoft Teams and Copilot via Azure AI Foundry. Built LLM workflows with prompt engineering, tool calling, structured outputs, and memory/state management for enterprise mission-critical use cases. Implemented retrieval pipelines using Azure AI Search and managed databases for grounded responses across diverse data sources. Delivered end-to-end observability with Azure Monitor, Log Analytics, and Application Insights to monitor latency, cost, reliability, and quality. Developed Python automation tooling for AI diagnostics and performance tuning (50–70% reduction in manual effort) and reduced incident frequency by 25–40%. Designed RESTful APIs and event-driven microservices, authored IaC with Terraform and Bicep for policy-compliant provisioning, and mentore

Designed and developed scalable backend services using Python, Django, and PostgreSQL for a high-traffic cloud-based POS platform serving thousands of restaurant clients. Implemented an API-driven microservices architecture enabling reliable communication between distributed frontend and backend systems. Built and optimized reusable React components to improve performance and user experience. Participated in Agile sprints, code reviews, and stakeholder demos; collaborated with product, QA, and DevOps to streamline deployments and reduce production issues.

Led end-to-end development of a Care Health Insurance web portal for Medicare providers, from data flow design through production deployment. Implemented full-stack front-end and back-end functionality using Java and web technologies, delivering clean, maintainable, and well-documented code.