Nagavalli Mareedu

I’m a Senior AI/ML Engineer with 5+ years building and deploying Machine Learning and Generative AI solutions across enterprise applications. I focus on Large Language Models (LLMs) and reliable Retrieval-Augmented Generation (RAG), including prompt engineering and agentic workflows.

At FedEx, I developed and deployed LLM-based chat assistants, document Q&A, and summarization—improving knowledge access and response efficiency by 30%. I designed RAG pipelines with LangChain, LlamaIndex, and FAISS, improving context-aware retrieval accuracy by 35%, and fine-tuned LLMs to raise response accuracy and relevance by 25%.

I also built scalable Generative AI microservices using FastAPI, REST APIs, and GraphQL, containerized with Docker and orchestrated with Kubernetes. I improved inference performance with token optimization, caching, and streaming, and reduced release cycles by 40% through CI/CD with GitHub Actions, OpenTelemetry, and Prometheus.

Previously at Statefarm Insurance, I delivered a Generative AI Q&A system for unstructured documents and strengthened grounding and validation using guardrails, fallback logic, response validation, and structured outputs. Earlier, at Infosys, I delivered ML improvements (25% accuracy gains) and reduced deployment time by 35% using CI/CD and monitoring, and I supported students as a Teaching Assistant by guiding 100+ learners and improving engagement by 30% while emphasizing responsible AI.