Manidheer Nalla

I’m an AI Software Engineer with 4 years of software development experience, building LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, and AI chatbots using Python and FastAPI. I blend full-stack development skills with .NET, Blazor, and SQL Server, and I focus on ML pipelines, vector search, and cloud deployment to deliver scalable AI-powered systems.

At the State of North Carolina (NCDEQ), I developed full-stack components for a biological data platform, built REST APIs for ingestion and retrieval, and implemented RAG (LangChain, embeddings, vector search) for context-aware querying. I also engineered C# APIs for EHR integrations, optimized .NET Core backend workflows to reduce latency, and automated DevOps pipelines for deployment and monitoring of edge AI applications. Previously at LexisNexis, I built Python/Django backend services and data extraction pipelines, deployed AWS Lambda functions, and integrated EHR ingestion pipelines using FastAPI and Celery, while contributing to React/Vue internal dashboards.