Brandon Snelgrove

I am an AI/ML Engineer with over a decade of experience specializing in Natural Language Processing (NLP), Large Language Models (LLMs), and Machine Learning Operations (MLOps). My journey has been marked by a proven ability to architect, deploy, and scale intelligent systems across various domains, including NLP, computer vision, and deep learning. I excel in building Retrieval-Augmented Generation (RAG) pipelines and fine-tuning LLMs, operationalizing AI applications with modern frameworks such as LangChain, Hugging Face, and PyTorch.

Throughout my career, I have led significant projects, including the development of an AI-powered Developer Support Chatbot at Western Governors University. This project utilized advanced NLP models and evolved into a scalable RAG-based pipeline, enhancing onboarding and documentation automation. My expertise extends to designing end-to-end ML pipelines on cloud platforms like AWS and GCP, ensuring high scalability and cost-efficiency. I am passionate about bridging research and production, focusing on usability and business impact through cross-functional collaboration.