UPPARAPALLI V.

Developed AI and machine learning applications utilizing Python, focusing on object-oriented programming, data processing, automation, and API integration. Built and deployed machine learning models for various tasks including classification, regression, clustering, and predictive analytics. Designed deep learning solutions using neural networks for applications requiring pattern recognition and feature extraction. Applied Natural Language Processing techniques for tasks such as text preprocessing, sentiment analysis, text classification, and conversational AI applications. Utilized N-gram models for language modeling and text analysis, and developed large language model applications for tasks like content generation and question answering. Leveraged foundation models to create adaptable AI solutions, enhancing performance and reducing development time. Created prompts using Zero-Shot, Few-Shot, and Chain-of-Thought techniques to optimize model performance. Implemented embedding models for semantic understanding and context-aware information retrieval. Built semantic search solutions with vector databases, creating integrated retrieval-augmented generation pipelines. Utilized Hugging Face for fine-tuning NLP tasks and developed AI applications with LangChain and LangGraph for document processing and advanced workflows. Constructed knowledge retrieval solutions with LlamaIndex, and designed autonomous AI agents and collaborative multi-agent systems for complex task execution. Developed high-performance REST APIs for AI model deployment and managed relational databases for efficient data processing. Containerized applications with Docker and orchestrated services using Kubernetes, deploying solutions on cloud platforms while applying Responsible AI principles.