Kavya Baltha

Background

About Kavya Baltha

I build AI systems that don’t just process data, they understand it. From designing semantic search engines with RAG pipelines to deploying predictive models that speed up critical healthcare decisions, I love taking complex ideas and turning them into working solutions that make a real impact. I’ve worked with tools like LangChain, LangGraph, Amazon Bedrock, OpenAI, Anthropic Claude, and Hugging Face to create context-aware retrieval systems. On the ML side, I’ve built models in AWS SageMaker using XGBoost and PyTorch, handled large datasets with Pandas and scikit-learn, and deployed applications with Docker, Kubernetes, and CI/CD pipelines. I’m comfortable moving between data engineering, model development, and MLOps—whether it’s integrating with ChromaDB or Neo4j, fine-tuning prompts, or monitoring models in production with CloudWatch. At the heart of it, my goal is simple: use AI to solve problems in ways that are faster, smarter, and genuinely useful.