Nikhitha Reddy

About Nikhitha Reddy

Generative AI & AI/ML Engineer with over 5 years of experience in designing intelligent systems across the tech, finance, and cloud sectors. I specialize in building agentic AI architectures, retrieval-augmented generation (RAG) pipelines, and reasoning agents using GPT-4, LangChain, LangGraph, and vector databases like FAISS and Pinecone. My background includes fine-tuning LLMs (LLaMA, Mistral) with LoRA and PEFT, deploying scalable ML microservices with FastAPI, Docker, and Kubernetes, and integrating solutions across Azure, AWS, and GCP. I\'ve successfully delivered machine learning models for risk scoring, telematics, customer segmentation, and sentiment analysis, while ensuring model observability, reproducibility, and compliance with modern MLOps tools. Passionate about transforming complex problems into scalable, data-driven

Experience

1. Ai Ml Engineer

   CureMD

   Jun 2024 — Present

   Led the design and deployment of agentic AI systems using LangChain and LangGraph, enabling autonomous decision-making through multi-agent workflows and dynamic tool use.Successfully implemented RAG pipelines leveraging vector databases like Pinecone and FAISS to deliver context-aware responses with high accuracy.Fine-tuned open-source LLMs (Mistral, LLaMA) with LoRA and PEFT for task-specific optimizations, improving performance in enterprise use cases.Built scalable, cross-cloud GenAI services with FastAPI and Kubernetes, and integrated OpenAI’s GPT-4 with human-in-the-loop validation for reliability.Developed advanced prompt engineering and reflection-based feedback systems to support adaptive memory and context management across applications.Collaborated with cross-functional teams to embed GenAI into enterprise workflows, enhancing productivity through automation and intelligent agent orchestration.

Education

• University of Memphis

  Master's Degree, Information Technology