About

Nathan Ward is a highly experienced Vice President - Data and Machine Learning Engineer with over 8 years of experience in the field. He has worked with both startups and Fortune 500 companies, gaining a wealth of experience in developing, releasing, monitoring, and maintaining machine learning applications. Currently, Nathan is a Senior Software Engineer - Machine Learning at Wayfair's Search & Recommendations team, where he is responsible for developing, releasing, monitoring, and maintaining machine learning applications to improve search relevance. Nathan's interests lie in productionizing and deploying ML models, MLOps, writing scalable and maintainable data ingestion pipelines, and using best practices for developing backend services and endpoints. He has a deep understanding of the ML stack, including software engineering, search, backend, data science, and research. Nathan's past experience includes working as a Vice President - Data and Machine Learning Engineer at Citi's Cyber Security Fusion Center, where he was responsible for developing and deploying machine learning models to improve cybersecurity. He also worked as a Data Scientist and Architect on the Data Derived Intelligence Team at Citi's Cyber Security Fusion Center. Nathan holds a Master of Science (M.S.) degree in Computer Science and a Bachelor of Science (BS) degree in Computer Engineering from Michigan State University. He has a strong technical background and is proficient in ML, software engineering, search, backend, data science, research, and more. Overall, Nathan is a highly skilled and experienced data and machine learning engineer who has worked with both startups and Fortune 500 companies. He is passionate about developing and deploying ML models, MLOps, writing scalable and maintainable data ingestion pipelines, and using best practices for developing backend services and endpoints.