Shawneil Rodrigues

I am passionate about machine learning and deploying intelligent systems to solve real-world challenges. During my internship at Amber Flux, I developed expertise in Microsoft Azure Virtual Machines, fine-tuning large language models (LLMs), and building Retrieval-Augmented Generation (RAG) systems to enhance data retrieval and contextual accuracy. I also architected scalable data pipelines, curated datasets, and designed API functions to integrate LLMs into production systems.
Additionally, I have worked on innovative projects, such as vchat.io, a real-time video analysis platform leveraging multimodal RAG architecture and advanced vision-language models like Microsoft Bridge Tower and LLaVA2. I also built an Agentic Finance Application, integrating multi-agent systems with Llama 3.1 to automate financial analysis and decision-making. These experiences have honed my technical and problem-solving skills, and I am eager to contribute to cutting-edge AI-driven solutions that create a meaningful impact.