Venkata Sai Naga Phanindra Kumar Annabat

Designed and deployed enterprise-grade Generative AI solutions using GPT-3, GPT-4, and BERT to enhance content creation, summarization, and conversational AI across healthcare, e-commerce, and finance domains. Built and integrated Retrieval-Augmented Generation (RAG) systems with FAISS and Pinecone to deliver context-aware, factually accurate responses, reducing manual query resolution time by 27%. Engineered and optimized prompt strategies for the OpenAI API, enabling domain-specific automation and personalized content generation. Deployed large-scale LLMs on AWS SageMaker and Google Vertex AI, ensuring high availability, scalability, and reliable production performance. Implemented serverless and container-based deployments (AWS Lambda, Docker, Kubernetes) and CI/CD pipelines with Jenkins. Extended AI capabilities into computer vision with OpenCV, TensorFlow, and Keras. Applied SHAP-based explainability and fairness checks to deployed systems.

Designed and deployed advanced Generative AI solutions using GPT-3, GPT-4, and BERT for content creation, summarization, and conversational AI applications. Built and integrated AI-driven applications with LangChain, orchestrated multi-step workflows for question answering, document processing, and automation. Developed Retrieval-Augmented Generation (RAG) systems with vector databases like FAISS and Pinecone to produce factually accurate outputs. Engineered prompt optimizations for domain-specific tasks and deployed LLMs on AWS SageMaker and Google Vertex AI, ensuring scalability and performance. Integrated generative AI with external APIs and enterprise systems across healthcare, e-commerce, and finance sectors. Built real-time chatbots offering context-aware conversational experiences. Maintained CI/CD pipelines using Jenkins, Docker, and Kubernetes for model deployment and monitoring. Developed computer vision algorithms for object detection extending AI capabilities beyond text. E

Designed and deployed advanced Generative AI solutions using GPT-3, GPT-4, and BERT for content creation, summarization, and conversational AI. Built AI-driven applications using LangChain to orchestrate multi-step workflows with large language models for question answering, document processing, and automation. Developed Retrieval-Augmented Generation systems combining LLMs with vector databases FAISS and Pinecone to ensure factually accurate outputs. Engineered prompt optimization for domain-specific tasks. Deployed scalable LLMs on AWS SageMaker and Google Vertex AI enabling high availability and performance. Integrated generative AI with external APIs and enterprise systems across healthcare, e-commerce, and finance. Built real-time intelligent chatbots and maintained CI/CD pipelines using Jenkins, Docker, and Kubernetes. Developed computer vision algorithms for object detection with OpenCV, Keras, and TensorFlow. Promoted responsible AI practices focusing on explainability, fairnes