About

Nathan Cahill is a highly skilled and accomplished Machine Learning Engineer with a proven track record of solving complex, multidimensional problems. He has a deep technical background and is driven to achieve explosive results. Nathan has authored 7 peer-reviewed papers, holds 3 patents, and has successfully led a startup acquisition. As a team player, Nathan is able to develop positive, logic-based cultures that foster innovation and attract talented people. He is currently working at oplus.ai as a ML Engineer - Technical Staff, Founding Member, where he leverages Natural Language Processing to increase efficiency and improve the quality of hospital care. Nathan's past experience includes serving as Director of Machine Learning at xpress technologies, where he founded a product that automatically priced and procured freight, bringing in $18m in revenue in 2021 and reaching a run rate of $30m in just 13 months. He developed a novel model architecture to predict relative pricing and used an exponential moving average to allow the price model to emphasize recent price fluctuations among similar truck loads, while correcting for historical relative price differences. Nathan also designed and developed the ML Ops pipeline, including training, tracking, and inference functions. Nathan's education includes a Doctor of Philosophy (Ph.D.) in Mechanical Engineering and Robotics from Arizona State University, as well as a Bachelor's Degree in Mechanical Engineering. He has a diverse tech stack that includes ML, AI, NLP, AWS, Kafka, Microservices, and RNN. Overall, Nathan is a highly skilled and experienced Machine Learning Engineer with a proven track record of success. He has the ability to learn fast, collaborate, and communicate at the highest levels, making him a valuable asset to any team.