Yuneetha Alaparthi

I've built production AI solutions at Capgemini and ATAI LABS, spanning enterprise document intelligence, industrial automation, and real-time computer vision. At Capgemini, I develop Retrieval-Augmented Generation applications that enable intelligent search and question answering across internal business documents.

I build document ingestion, preprocessing, chunking, and indexing pipelines with Azure AI Search, and integrate GPT-5.1 through LangChain for context-aware, document-grounded responses. I also support retrieval optimization, prompt engineering, evaluation, testing, debugging, and deployment for scalable enterprise AI applications.

At ATAI LABS, I developed YOLO-based detection and tracking systems, improved tracking accuracy by 8%, and improved detection accuracy by 12% on a distributed cargo-detection system. I've optimized PyTorch models with ONNX and TensorRT, reduced inference latency by 4%, containerized deployments with Docker, and built reliable ML pipelines using Linux, Git, PyTest, and CI/CD practices.