Koti Sai Venkata Bhargav Edupuganti
Gen Ai Engineer @UnitedHealth Group
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WORK HISTORY
Gen Ai Engineer @UnitedHealth Group
US
Developed and deployed GPT-based conversational AI models for enterprise applications.* Implemented custom transformer architectures for text summarization, classification, and entity recognition tasks.* Fine-tuned large pre-trained language models on domain-specific datasets for task-specific applications.* Built and integrated LLM-based APIs into enterprise applications for enhanced search, recommendation, and analytics.* Designed and deployed end-to-end ML pipelines, including data preprocessing, model training, and deployment.* Automated model retraining and monitoring using MLflow to maintain production-level model reliability.* Conducted experiments with few-shot and zero-shot learning techniques for domain-specific GenAI applications.* Explored prompt engineering and instruction-tuning to optimize LLM outputs for various use cases.* Designed and implemented RAG-based LLM solutions for enterprise knowledge retrieval and question-answering.* Integrated vector databases with LLMs to enable context-aware, retrieval-augmented responses.* Developed pipelines to generate embeddings, perform semantic search, and feed context to LLMs.* Fine-tuned retrieval-augmented models for internal documentation and customer support applications.* Optimized RAG architectures to improve response relevance and maintain up-to-date knowledge.* Collaborated with product and data teams to translate business requirements into scalable GenAI solutions.
EDUCATION
Kent State University
Master of Science - MS, Business analytics
ABOUT KOTI SAI VENKATA BHARGAV EDUPUGANTI
Engineering the Future with AI/ML & Generative AI What if every piece of data could tell a story? That’s where I come in. As an AI/ML & Generative AI Engineer with 5+ years of experience, I specialize in transforming data into intelligent systems that power smarter decisions and better experiences.From fine-tuning LLMs (GPT, LLaMA, T5) to building RAG-based enterprise knowledge systems, I thrive on pushing the boundaries of what’s possible with AI. Whether it’s designing cloud-native ML pipelines on AWS & Azure, optimizing NLP models, or integrating vector databases with LLMs for context-aware search, this is my playground.I don’t just build models; I engineer scalable, production-ready AI solutions that bridge the gap between business needs and cutting-edge technology. At Progressive, GEICO, and Infosys, I have built and deployed solutions that make AI not just powerful, but practical. My mission? To craft AI systems that aren’t just technically brilliant, but impactful, reliable, and future-ready.Ready to collaborate on the next big AI breakthrough? Let’s connect and make it happen at +13•••••••52 or b••••••••@gmail.com
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