Brigham Freeman

Background

About Brigham Freeman

I’m a mathematically driven problem solver with a strong background in theoretical physics and mathematical modeling. I have a passion for leveraging my research background to build AI and automation systems that deliver real-world impact. My expertise spans deep learning, LSTM, and Conv1D architectures, and I’ve developed and deployed production-ready models for forecasting, optimization, and classification tasks. I'm also experienced in training and tuning GAN models for advanced generative tasks, including synthetic time series generation. With a deep understanding of both the theory and the tools — including TensorFlow, NumPy, and Python — I bridge complex mathematical models with practical business solutions. I thrive at the intersection of technical rigor and innovative application.