About

Nathanael Robertson is a highly skilled Machine Learning Engineer with over 6 years of relevant experience in the field. He possesses a strong background in Data Science and Software Engineering, which enables him to develop and deploy effective machine learning models for various applications. Currently, Nathanael is working as a Senior Machine Learning Engineer at evolutioniq, where he is responsible for designing and implementing machine learning algorithms to improve the company's products and services. Prior to this, he worked as a Senior Machine Learning Researcher and Developer at mariadb corporation, where he contributed to the development of innovative machine learning solutions for the company's database products. Nathanael's expertise in machine learning and software engineering is further strengthened by his experience as a Software Engineer at Google. During his time at Google, he worked on various software projects, gaining valuable experience in software development, testing, and deployment. Nathanael's educational background includes a Bachelor's Degree in Physics and Computer Science from Anderson University, where he gained a solid foundation in the fundamental principles of computer science and machine learning. He also completed a program in Data Science at Galvanize in San Francisco, further enhancing his skills and knowledge in the field. Nathanael's technical expertise includes machine learning, data science, research science, and software engineering. He is proficient in various programming languages and tools, including Python, R, TensorFlow, and Keras. Overall, Nathanael is a highly skilled and experienced Machine Learning Engineer with a strong track record of developing and deploying effective machine learning solutions. He is passionate about leveraging his skills and expertise to solve complex problems and drive innovation in the field of machine learning.