Sai Nikitha

About Sai Nikitha

Senior Generative AI & Machine Learning Engineer with 10+ years of experience designing and deploying enterprise-scale AI systems across finance, telecom, retail, healthcare, and aviation domains.I specialize in building LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, agentic AI workflows, and production-grade MLOps pipelines using AWS, Google Cloud, and open-source AI ecosystems. My work includes deploying enterprise chatbots, intelligent document search, call transcript analytics, and AI-driven decision platforms.Core strengths include:• Large Language Models (GPT, Claude, LLaMA, Mistral)• RAG pipelines, vector search, and hybrid retrieval• MLOps / LLMOps using SageMaker, Vertex AI, CI/CD• AI Agents (LangGraph, CrewAI) and workflow orchestration• Cloud-native deployment (Docker, Kubernetes, APIs)I enjoy translating complex business problems into scalable AI solutions and partnering with cross-functional teams to deliver measurable business impact. Open to: Senior GenAI Engineer | AI Architect | ML Engineer | LLM Engineer roles

Experience

1. Gen Ai Engineer Wells Fargo Mar 2025 Present

   Wells Fargo

   Mar 2025 — Present · Charlotte, NC, US

   Built enterprise-scale LLM and RAG platforms for knowledge discovery, document intelligence, and customer analytics• Designed end-to-end MLOps pipelines on AWS & GCP using SageMaker, Vertex AI, CI/CD, and model monitoring• Developed multi-agent AI workflows using LangGraph and CrewAI for task orchestration and enterprise automation• Implemented hybrid search architectures combining vector similarity and keyword retrieval to improve response accuracy• Deployed LLM-powered applications for call summarization, chatbot systems, and knowledge extraction• Fine-tuned domain-specific models using LoRA/PEFT and implemented human-in-the-loop evaluation frameworks• Containerized and deployed AI services using Docker and Kubernetes