Hire Sai J. - RAG Engineer

Led fine-tuning of multiple LLMs (GPT-2, LLaMA, Qwen, Mistral) using Continual Pretraining and Supervised Fine-Tuning on Intel Gaudi Processors, achieving up to 92% accuracy; enabled checkpoint resumption, automated dataset pipelines from Hugging Face and GitHub, ensuring scalable and reproducible workflows. Developed a Visual Studio Code extension for real-time Vulnerability Detection, Optimizations, and Test Case Generation, reducing manual review effort by over 70% through advanced Prompt Engineering. Architected a GitHub Pull Request Agent automating Vulnerability and Optimization analysis, cutting review time by 90% and providing detailed PDF Reports as well as inline base comments. Developed RAG agents for Salesforce and Co-Marketing teams using LangChain, PGVector, and Apache Airflow, achieving 95% accuracy and earning an internal innovation award for dynamic database adaptability. Implemented Model Context Protocol and advanced Function Calling for models deployed on Intel Servers, en-hancing system responsiveness and interoperability.