Daniel Okoye

Daniel Okoye is an accomplished machine learning engineer at Greenbyte, where he specializes in developing scalable AI-driven solutions for renewable energy insights. With a master’s degree in Computer Science from the University of Michigan, Daniel blends rigorous academic training with a passion for sustainable technology. At Greenbyte, he leads efforts to architect and deploy predictive models that optimize solar and wind farm performance, leveraging deep learning techniques to improve forecasting accuracy by over 20%. Prior to joining Greenbyte, Daniel contributed to several open-source AI projects and interned at a leading research lab, where he co-authored papers on time-series analysis for environmental data. Outside of work, he mentors local coding workshops and enjoys trail running. His combination of technical expertise, collaborative spirit, and commitment to clean energy makes him a driving force behind Greenbyte’s mission.